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Building a Memex in Ember

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I'm in Louis I'm from trial to Canada I decided to put that the Canadians together so welcome to Amber Kong-Canada 2018 got up next so and the opening keynote for Kong-Canada got with the closing keynote that there are many program for the next few hours and so on and median of trying and enveloper and the user with a confession and I have no idea
sometimes what and then with amber sometimes they're looking I really don't want of being a non expert I'm not here to talk to you about lower performance or you know I'm not gonna make dense entonces move around the screen beautiful fashion and the target a psychotic I'm working on that happens to involve members but 1st time in history and soon the
tech world we can a company like this we hear about history and it was funny idea what it means so this is history you know it is blocked of we use let you we don't use import amber anymore that's history we use our components no fear yesterday in the top history would learn that we don't use a liquid binding where that's history to using animated value and then the go back and the ancient history you know that the query is ancient history and then even stepping back further to pre history we have the on like so in in the tech you have this funny idea of history at the top but real history other kind of black-and-white photos
and in a start by telling a story and the story starts in the 19 thirties but and involves
this guy Miniver bush and if you've heard her name for an apartment Vannevar Bush and some use some saying that you can say well actually it's pronounced then you got a an a while but I know that the venue of Bush
was an engineer who work in the thirties and any double the 1st analog computers and these were cool devices and they would they would do a calculation in the rain chemically under and diddle computers back then and was really engineer to build a bunch these an MIT and so here's this is
most famous 1 the differential analyzer and what you do is you trace occurred had the press on the right side is facing occurred and underneath the area underneath the calculated have by the tracing of her to is the incredibly cool computers and they were used for ballistic calculations infer integration calculus and they're really cool and like a lot of engineers in
the approaching the end of their careers antidepressant and management so his job turned from making cool devices and the reading documents and in the 1940's
something big happens those World War Two and
spring the whole country reoriented toward when the war effort and the the venue Marber's you
got it was called the general physics because his role was to give science adviser to the president and yet a lot of really big countries since the war efforts and we made at a time and but 1 of the big stories about world war 2 was that there was an explosion in information so there was all these tools for creating information but during the World War World War there is this the 1st time they got used a mass level so the renew bureaucracy there tracing
the evolution of the data the data and
and everybody was none the warfront was somehow producing data at an informal paper information about home so here's some just
examples like how much information is being produced was unprecedented and then Bush's and
job was to distilled reports and you get science reports and you have to read them and understand them and then translate that into advice for the president so across desk and the at 35 thousand report that came back into hindering the course the words is just an overwhelming amount of data and and was is very frustrated by it he felt like not control and you a phrase he is you're being
buried under a own product so we have all these technologies for creating information but we don't have technologies for after processing in understanding it so when the war came to an end and he thought about it and got solutions was engineering at back on the road as they called as we may think the answer lies it's pretty easy to read as published in July 1945 and and what is that he describes a device that could solve this problem for him and he called it the minutes and so what is dynamics the idea was that you have a device the size device and you put all your library in it you put your correspondence you messages your reports and point with the bill of to search it really fast so this is like a 1 1 device for all the information you'd ever come across and understand see and you be able to really stay on top of information overload is a pretty simple device
not to reduce that size and had a couple displays had a little fun hence codes linear codes and had microfilm that was the way information was stored and it's really the idea was like everything to be do you buy everything can be put on microfilm the whole lot of information and is the cost of the screens
on the left it would display that information from microfilm 1 right you can add your own notes at came with this add-on peripheral for a pretty
voice memos I came out with another add-on peripheral as the camera you strap you
had psychotic camera they called it and in all this is just different ways of getting information in human rights but the key the key design decision was of the Mavericks was to use that instead of having alphabetical or topical indexes but Vannevar Bush really wanted to have a different way of organizing information so we decided to use links and is is really 1 of the 1st times that links for use in this way so the idea was that brings work this way by association we navigate by by by associated with association you thought computers to be able to work this way too so was really cool is very forward-looking but the unfortunate thing mathematics is it was never
produced this made me sad very sad
and and you know as a as a good developer
excitations build my own limits was the great and so I said this I naively and many many years ago so they can talk about the journey now and the 1st thing couple that might my psychology they promise a we code on the screen eventually fuse into which text and so the following talk about that it's about a problem itself I mean information that they save everything and have a real emotional problem with letting go of information that I can't do it and so in grade 5 I started
keeping a journal with forget what happened each day as a
donor kindergarden report cards I have every movie stuff for every ever been to cut them off and every photo that I've ever taken to thousands over the
years pre pre Google Maps they even tried to map my walks so this is like my not my walks Citron and you didn't work work very well it only lasts about a week this experiment but tried and
good notes from almost every talkative into use this is like a useful and Adleman conference that is
obviously and worst of all perceived my
Amazon logs from high school and and obviously like there's really not much that's where ever reading the news like is a sample conversation which you know quite clearly like it's it's really really should read this very often it's awful stuff and when such a nostalgic person that I even had a soldier I had pre-empted nostalgia so here's a chat-like where Antony with a friend a reminder that I have lots of mice patella how do it and then I suggest that in 10 years was to get together and read the slides there is very nostalgic in advance and and then at the end she calls me a freak because I think yes this Newell really weird and this is the kind of person I am who I can't help it but the problem is that we have all these digital services now and the problem is like skyrocketed like it's out of control for me and so
the overwhelming amount of personal data safe so you know there's a couple solutions I could
talk to a therapist but I decided not to do that and instead I I'm I use ever the developer so I know I'm talking about a bill that
building and then acts in amber and so the hardest part of this project has been this gathering the data I hasn't really been a front-end part of the problem it's been a data problem but so build importers from almost everything I can get my hands on so I have all my reading browsing activity for almost 10 years and RSS reader which I still use which is great at Twitter additional consumption so every time I watch a movie or a like then on Instagram or podcast listening history have in their music McMullen services I use and Havel application history from iPhone which is a really good at speaking my pocket I have all my messages for almost 20 years of messaging history of social interactions and then there's a lot of like altered data in the form of journaling which I've kept on and off the last 20 years I have my photos at my notes the like a really rich set of a history that I have this is from almost 90 95 honors like those MEFA's Journal and I have almost something for every day since then and is organized into a graph that I can navigate it and it's not like it's the pretty we schema but the allows me to be a really navigate it like moments has the 5 minute million activities of things are done and then 4 million entities and these are like people places things are like concepts and then there's a lot relations of between them there they bind them altogether and then there's an ECL system detail since for extract transform load so if the pattern for having importer and transforming that and then loading in 1 of its and then plus custom query language for actually a clearing it and then at the station the i in the back and that's a note to the scary time the light demo I feel what about your head and give a little prayer be appreciated in answer to switch to my resin they hope everybody's pain cool OK so this is this is the opening screen and so on the left is our query
builder so right now I have a simple queries is everything I've done and get have so you can see that you know this is a lot of all kinds of different activities and is a lot of time but I can still be down to something like verb like so this is all the repositories of light and no lot amber stuff and to give a better idea of how the scheme is organized I have this new view of you can take an idea so in the middle is the Endre Louis knows his generalized oriented around things I've done and then coming out of it the repo so this is look at source and these are the you know the owners of the repose and then this is like the tides and so you can kind of get a sense of how everything's organized as a graph and then we navigate this graph by with the custom query language of this builder in the left hand and the left hand side so I can change it to verb edited so this is what a use for commits the varieties nets and updates and so
I'm just changing the the traverse social a different temperature so we turn off the graph so
I'm to change it to verb listened and then it's so involved every activity has an involvement so this is like a reading of subject applicant object that is the object and so needed and you look for science and I to look for songs where the creed craters read differently so what we have here is is that at the 3 hot Traverso where we evaluate from the bottom where it find all the nodes of measuring Franklin that we might not find all the signs where she created them and then we find other times it wasn't so it's a value that was clearly Air ns I have missed their songs new better of of her
call so this is every cyber to you by Ritchie Franklin so it's a pretty simple to wrestle I can add full-text
search into here so let's say it love so any song that matches love but with the grid creators are its frequent then we just update and we get
we get that and so that's the idea of a kind of how we can build sort a subgraph that we describe a subgraph that we want and then we evaluate query and we see the result of the timeline and so just to give an idea of like how much is in this thing I'll do like a pretty simple query from like some like Christmas which like like I don't really care much for Christmas but it's nice it's nice is because across all my data so it's a value this clearly and of
graphic so this you can see there's a lot of a lot of it's over time so from to 2 thousand 200 psi have of you can see is the seasonal pattern and stuff and so the
signal of a more useful useful then Christmas was search for and so this is everything
I've I've done that involves member over are quite a few years and we can scope it down to a
verb message message so is every time
i've message and its had and bring so it's less explored a little bit so this looks pretty early on in this to refresh as Mr.
so this is pretty early on and I think it is
too early 2010 is a message from my friend attitudes about the embers as not real lumber so so Scoville earlier a bit later so this is a
message from 2012 befriend fillers is complaining about learning so for any any desired you can always find a context and you know what was going on around the time so it was that like what what also saying you know I ask this heavy-handed is a stellar grills complains about what knowing Gs and this is all matter so this is like an early conversation I can find it very easily but we are still there if I could show some screens and it's fine he says he loves you all and he's changed its mind so this 1 and half and magister compromising winner of OK so what we can do next I know we can we can changes around that and I can add a provider so slack answers like everything on flat
dimension if you notice is pretty spots that's because the EMBA community slack doesn't allow you having access to so if there's anybody in the room who has an axis and what's the main axis token looking at my data anemic really appreciate but if you do I can talk to after but that and I also do something like this and where I change the route to photograph and this is a
bit of we're create because if you'll see this really nothing and of in the photo that had suggested that the embers but we have OCR of photos and yet so here we have a we have it's doing I me up and we have on the screen as it were able to match for the full text that's in the image that I took of the event yeah this is actually surprisingly useful because that's where the you know we have these are screenshots of taxes and welfare at them because we agree with them and we can never find them and I really have a problem I can search within these are awful screenshot of text and that's pretty useful but as a developer there's
nothing Justice level McMahon line history and so I could say verb commanded and so is that the 2 use college if the call for making just gives just and I I can ever remember the flies in things like a common problem in uses thing like a couple times the every year so obviously I don't remember the flights is pretty easy to get to it's all the terms of use and so was was to work so this is a query for every command
other involve just call so here goes a
collective the play-by-play fuel any of the like this is maybe maybe is useful sometimes we actually wanna like learn a little bit about you know like what we're there and time in the cool thing about where have this organizers that I can always use 1 of the sort search results to jump back in time so let's see with this 1 I use the flag a user can virtually that's actually after so can you load the next activities and I could see the stack overflow articles I was reading and they can see all the documentation is really inlet and when you see everything in line and and collated on same time on it really that follows like a time machine where your brain gets the same stack that you had when you're solving this problem earlier you know do
different things like roof at the top modules and because see all the
time so absurd right it will it be he started time a type and I can see the time accident that here I deleted my at node marginals you know this happens quite frequently I as I said before I had a really number 2 or more jobs to all and so it's kind of fun it's useful to you'll see all year history this way that this is another step so on Instagram is is wonderful service I think a lot of use it but very obnoxiously they don't really have an export feature history feature and I feel as users we make this service really powerful and we don't have access on history and Cilic part of part of that 1 in intervals political I feel we should have a right for data so I have a copy of my Instagram history absolutely disagree for since the verbs published and user pulp voters publish of on Instagram and this would hold everything I've ever seen on Instagram I wanna scope a dancer survived and so the actors in this and so this is my point
loads is my complete by Instagram history which is which is great because otherwise there's really no way to get this stuff obnoxiously and we can change the way it's displayed in no user commission
review the aisles of only reading activity and I think
when we then Bush design that makes it you really had reading in mind and I think this is a big part of it and so philosophy is an only ready but I think just because it's easier to extract like you nothing ever reading in savings so we say that and so bread so this is like famous everything I've read so it's and really but called lesson as the timestamps I have code
so they can add to that so now combining of filters so this waiver made the reading in quoting so all this ways in a concerted manner that obviously but but because of the
way the data structure is organized they can navigate through with associations like that's I could do something like this where and so I I look through a browser history that involves Wikipedia so this this would be this A-B every Wikipedia article if thread on
and except learning as through browser some
this apparent Proust whoops breast cool OK so this is every would be dark
over at the school and but I can do better in and I can say occurred during and the red so this is every Wikipedia article I read while reading and was like I have a habit of reading a book or look up something like that because really cool it's almost like a free notes that you have of the book you read so I can pull of every every with article I've read while
reading and so you know like of things I looked up and it's really cool for like prompting a remembering a book and they can always the context around it and so yeah like this is this is a useful stuff I can do no the 1 which is
so when you do something similar words fervor browsed it involves traverse again and here the 1 watch reversal so I'm looking for and and looking for podcasts evolving from the inside pockets of where the reference to references are things I browsed so basically in a podcast you know if you have a bunch of links so I can do query for every time I've looked at a link that has been reference on podcast so so this is like you
know I was no pockets image in this book I clicked on the link and I know someone it is connected to that listening actually annual spike in a browser and as I was actually at ice-hockey Daniel I wanted to find an example blue apron but abortion I can't find any pipe path that have reference have linked blueprint and say I don't have that but have lots of square space entries answer the sock like I got my nostalgia problem so when when we do delivered a started here so you look for noted this is the free use my journaling that the verb is right and let's others put like way back said before 1999 and and you know the part of being a kid is pretty parties to you know search for all the times my journal I mentioned with the parties and so here's some old ones is from 1995 and it is could I had backed filled my data and so I have that all in there and this is that if you read it but I was really upset my little brother had a birthday party in my parents and let me play with the kids that those to alters would sit there in a journal entry about it and so the cool thing is my parents are Earleville like this as well and they have timestamps on the photos they took that that will lie in a like a date on the camera so I can always you know C-C it in time and the time line so this no pictures from that day was the birthday party that is jealous I can play with kids and if we scroll down here's another entry about in the recess it was raining so you know there's not too much contact from this time but you know I I wasn't really generating a lot of data but there is data that in the form of the former whether so the story the story text out and the so for yeah for any day I can pull the weather and sometimes like and it's mostly not useful but sometimes they usually really cool context so in this case it was a is a range my journal and story text was I have this to say as a probability is that the petitioners 1 so yeah those sensory Texoma journalists true another another simulation against us OK I'm going to do a
few different things there were almost done and so I I like walking so let's have a look at my walks and so this is like a record of all my walks there were many years like and put them on a map so that's cool and it's and I like long walks in particular so it's this is a this is walks the quantum in 10 minutes so the term I long walks on infants sometimes I like walking and
beaches so this is my long walks and no 1 died beach and so this is this kind of fun and you know was the time at a really care look at exactly where I walk but sometimes it helps jog memories so a couple months ago I'm at a strange loop they believe industries with great conference so I drove down my friend access in Saint Louis so several X so I can view verb drove duration was say this is a long drive to 10 minutes long it's and I'm doing it with my friend that's it's
and English people but certain
occurred with experts so this is this is the driver to put next and everything so I attacked people many with us when only manual things I have to do unfortunately but when I have it I can do these really cool things like finding of long guys have done with Macs and so really fun road trip and along the way we took some photos
so what I can do is verb photographed and you put this inside so honestly tests occurred during the analysis but the scanned from drove duration so this is all the photos I took with Macs on a long road trip we can can get a sense of like what we saw as refined and when we're splitting the bills later on I can use those yard to find that the fuel at age 4 so that matters the know it's kind easily can can understand and so on a drive we was
sciences and podcasts and that the particles so I can I can do listened to involved my office ring service at almost that's so these are all the podcast listen to you on the way I was a tree cool there was that 1 part has really right through Appalachians and we listened to a cool podcast about the rocks of Laplacian so is cool see it on a map into context because sometimes I write only remember the podcast and I AO will search for it but I I would know how to look for a based on like where I listen to it so that they can carry useful so another thing we did on the trip as we went to a cool country by our our net intent musical you'd shot so I have all
my will miss' tights and this is actually
a pretty useful dataset a surprisingly very comical iPhone Indonesia's them to target at it and so let's try to remember that it was a summer rounds all the news around here the data maps and there it as we listen to God works in God works fans house this the and so was in the course I I have a record of it it was as follows pull the context so we can see was with Macs it was in music city bar grill I can also see that in some of the things we're doing so a photo a wearying wings and beer some photos physical later it is like it's a cool journaling feature almost go back in time and really see like all my life was like in the past and finally I have a lot of a lot of feud so attract my you this is really not as useful and
was the flight so I have my breeders as every brilliant around and that would be my he that freedom of and I
think skip Denishawn so is every breeder fat in front so in this is really 1 of the stupidest things track but it's finally keeping that they're there there was a time when I was eating a burrito and I was reading a book and I see the quote from the book and I I really don't remember anything beyond that breed of about having about the book so and and this going to my breed of history and a jogging my mind about all the times I've had breeders in this 1 pops up on the map and the other was familiar so I can use that to go back in time that's the context again this school as right as reading the book information and yet there's a code a using breeder track sometimes it turns out to you so Muslim has not been as fun to have this data cool you back to my slides so as the the demo I
was working with not bill had a recorded is it backed up in a certificate by a blast I could use I could use the videos are recorded and I realized I wouldn't really be able do that by bus light with MMX maybe someone else could read my life and presentation so all this this is not too long but I just wanna go over some members 7 using questions like why amazing amber and I of trail so I think the community was that no 1 over and is a great community stapler communities really fine and but I think when you have side projects and having stability is really good future and it'll have like revealed by toolchain every time I want this work on it and I'm running the longtime and skip the person I I don't think anybody wanted to see pianists at this point of the afternoon I D 3 is pretty
cool and it's but it hasn't whenever there whatever it's not a challenging and so basically what you do this this is an add-on that gives the Amber D 3 user do certain elements you set up here as diene in year elements and then use observer and every time that the date by changes are you pass it into component and update the graph and then you all the weird stuck in a single function or inside inside outside of Berlin and and was pretty well obsessing call graphs so this is you know at the time
the time series ahead and this is also it's like a
correlation graph that I can also do these kind
of cool grass these a network graphs and so the show nodes and edges and so in the case of the 1
I'm using wanted amber models and they're all they all have relationships to each other through number so I have model I
have all the the types of our relationships enumerated and then what they do is that right in the each plays each relationship iterated to go over each each type of relationship that the nodes connected to and a recursive risky and they're almost like as a recursive Traverso through my models and and then the 2 D thing here is you have to remember that you don't want cycles which I do have an ICM hops remaining you just make sure you never get cycles and and then the other thing I do is count how many edges I have committed to each node and then change property in color and make a size depend on that and so this is maps and that's a pretty pretty simple I think we've all done them and what I would recommend
checking about boxes it's that's what GL basted it listed you are really cool
varies nice heat maps to check it out so building
this talk but this really quickly and so I had this concept
of nesting so what I do is I have a query and it returns a bunch of activities and then protective defined by finding the dates in they create another type of a time and also I create the start markers so these are like the the started red and I put the monsoon 1 and then unfortunately there's not I have to use decreed actually find height of the bars and I do that after so everything's kind nested in the structure and as they strolled and these things updated it is in the top left and this is supposed to work but asserted editing the collapsing broke so it and work in the demo but on the top left it always show you have rate if you hover over it will show you where you were in the US and so that depends on knowing where what's
visible and so this is the really hard
and we still able to do you I would that scroll this this was really get then we used procrastination frame so now we have intersection of observers the really cool just and in the future and I'm not sure what's coming line but there must be some cool and if you go alone
the September and port a great add-on for doing this and so I mean and try to wrap
this up into an app that that people use so I'm clean electron as electrons agreed on
and so what I do is I have a main
just processes with electron gives you and this runs an EMBA apps it is like an outer amber out which manages the Windows which measures the tabs but in inside inside this is that there's an array of whether these ends and would view has another copy of the amber fun-enough that's running and then underneath that his doctors it's covered a four-level deep system and that it is I can have have
little little installer Europe recessive the doctor they
have this configuration panel and have
like this configuration called importers of is actually a number model so it's serialized the yellow and Dr. reads and this is my cab system and
then this elections confusing to you just copy the ghost
stated of the grocery though has really cool all open-source and they've done a lot with electron so where this project
going and I think this a few directions for me that
is this a quantified self idea so I could use taxes is that is a graph of like my biking dependent on the weather so you can see as a weather drops I don't like the word I think the all these kind of quantified self sustaining issues like another a graph of
my biking in and visiting and this is a
map of the hour of the day and the types of drinks that have over time and this is kind of fun I can only find myself stuff a lot of people are attracted this I
can with it like this it's so it's awful like it's kind reducing elected numbers like the journal in a lot more but so I am going for this and this this
seems as nearly but I think this is almost like an augmented reality where the final version of this is like my life you know inside our my glasses and I can always see like where I've been for would be doing and there's someone I related virus his name is Douglas
Engelbart and he had this experiment we retired tied a bridge to a pencil and he tested how people right and obviously like when you have a brick structure the pencil you're not only writing poorly but you're also not thinking properly and indeed the inverse history with the tools we give ourselves almost in a free and create new test of behavior and abilities that we have and I think like this whole project the experiment but what what abilities emerge from my ability to have my life in the database any idea have an open-sourcing
but since the wouldn't it back to the story of moments
now is really weird and ink blot some people heard about it it's really consider like a really early Internet device so people celebrated as is is really put a project that was weird it ink blot of
people concluded this when I saw this picture in as the real device and those weird brother reasons you
but the form factor was weird so a computer in the 19 thirties was was less and if you
think these nice looking used by using that's not the computer the computer is the room of women are working generally though the computer in the thirties and I can see the sign near computing section and so the form factor was weird for the wind beneath there were requests that created it but the idea of having a dust device was really strange even in the fifties this is a hard drive and sixties a computer
so even even for its time is is very very weird ones actually created replica
mimics and this is like what it might look like it was weird for
it for another reason it was weird for the problem is solved the to computers were typically used for big important
problems so this is the classes in in Bletchley park it was used for cracking not circuits so very important problem at a good job of it this analog
computer was was use from list the calculations also pretty important problem for the for the world during World War Two this is the UNIVAC and other early computer users consensus that computers were used for the very big big problems notes of weird because it is wanted help individual user stand up of like a very personal problem was with another reason the
technologies used to thinking in looking at
this and thinking about this really old-fashioned it was it you know it is the 1st time is a bit weird it was all analog and there is the new hotness of the
time is called that concedes and all the cool computers reason back tubes there Bush I really didn't understand like them and so we designed this system almost like in in tools from the last decade so this is the 1st of a computer but
he didn't even really get it so he stuck with what he knew and others for the workers is weird for another reason how was published and so a lot of big ideas commanding journals or blog posts think important places he posted in the Atlantic magazine I which
is a general general reader magazine but this is that table contents
and conceal alongside it was a no forgive me
stranger a poem ships in subsidies the agonizes as the company kept it in the literary world and then it was republished again a Life magazine and suits you know this kind
nestled among cell of general contents and
if you have a look at is the monarch's essay in line with the with advertising since got out you know 1 the most important ideas in treating history was was next to a laxative add and so it this not really worried take a big idea what was launched but this is this is what it was and so this is
where for all these reasons the reason I think it's weird and exciting at same time but it was a small side project a fear of brush and is busy the Cofan radio and I did this
earlier but which is the 1 of the biggest contractors for the U.S. Defense but is actually also the civilian
leader for this the Manhattan project so what you think about the mimic the was actually in charge of what making sure that this device got built and then after the war he ran the National Science points out
Science Foundation and he was on board the ISS you had had many jobs have units that
we retarded budgeting with stuff and lost and metrics is always this thing he thought he had ideas about and and published and
and you know I have kept on publishing it into that the late fifties so this is something we thought about as a side project and you never like spend all time but having incredible amount of impact on the world so
researcher Linda Smith looked at all citations economics at as she describes what it hired as an image of potentiality was weird it was different and people latched onto the the weirdest in their own ways and this hundreds of citations over the years but people like to make these
trees of of what the mimics influenced I can see the bottom window use was on the list so it's a really likes to trace the origins of x as Duggan
nobody was very inspired this is his personal copy with the notes yet out of merits paper and like
he he went on to that idea and build like the 1st modern years with like with the monitor and a keyboard and mouse like this really came out of the merits but here's
another picture of system and is a citation
analysis which is again directly inspired by the amendments and when Tim
Berners-Lee came to invented the World Wide Web he was again also very inspired by by the x so as will side project and that's what I find so
inspiring about this so the OSI products
you know world is we have responsibilities and is the big privilege to build a work on some projects not always have that privilege but on the other hand
but the many folders to recount dot patterns and so it's it just compiles all these tricky ways a developer spend time on and tricking users into doing things they don't want so I think about this maybe there's a lot of surplus time available for developers to be disposed of in a little bit when I add the boss acid quantities and so he inclusion and here's how I
use my own nearside project them coming to Portland had been here before but I think it was clear on itself
of all the times its input landings in a command itself but the carpet that I can be reminded take my own
photo of carbon they can see my friends have been here and
remind myself of where to go in the city I know that I'm gonna
run into people about before so I can quickly pull by notes and refresh my memory have a very intelligent conversation with them I can see where Portland I've been
to which is nice because I can sort of plan to be in a place and before and is that the phrase for LANs a bit of a cliché but will let against key Portland
weird I have been inspired this and I think we should keep our side projects weird as well the so thank you
that's merits this then that the
this this then the fact that it
facts in the new the
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Videokonferenz
Offene Menge
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Schwimmkörper
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Mathematisierung
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Element <Mathematik>
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Software
Prozess <Informatik>
Quader
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Prozess <Informatik>
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Whiteboard
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Mailing-Liste
Physikalisches System
Störungstheorie
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Bit
Benutzerbeteiligung
Benutzerschnittstellenverwaltungssystem
Atomarität <Informatik>
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Softwareentwickler
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Bit
Umsetzung <Informatik>
Digitale Photographie
Festspeicher
Automatische Handlungsplanung
Projektive Ebene
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Ein-Ausgabe
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Mittelwert
Binder <Informatik>
Newsletter
Projektive Ebene
Quadratzahl
RSA-Verschlüsselung
Versionsverwaltung
Datentyp
COM
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Metadaten

Formale Metadaten

Titel Building a Memex in Ember
Serientitel EmberConf 2018
Autor Louis, Andrew
Lizenz CC-Namensnennung - Weitergabe unter gleichen Bedingungen 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben.
DOI 10.5446/35706
Herausgeber Confreaks, LLC
Erscheinungsjahr 2018
Sprache Englisch
Produzent Confreaks, LLC
Produktionsjahr 2018

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract In 1945, the Memex was proposed as the ultimate personal library. In addition to storing information, users could navigate, organize, link, and share data with others. Tragically, zero of these devices were ever produced, but 72 years later, I’ve build my own Memex in Ember. I’ve created dozens of importers for different services, organized the 10M+ data points into a graph schema, and built a frontend with Ember. Almost all aspects of my personal history is available through this app. I’ll go over the history of the Memex, how I used Ember to build my own, and demo what I can do with it.

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