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A living atlas of technology

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in isolation.

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Explore the human network that built our digital world.

Explore the AI generation · deep learning to TypeSafe AI ↗
THE PEOPLE AND ORGANIZATIONS CATALOG

Every company has a founding story.
Every founder has a network.

39,013People ↗17,843Organizations ↗87,628Sourced connections ↗23Curated tribes ↗
27 news classifications · review needed ↗14,550 co-mention leads ↗
Explore connections and evidence
THE TECHNOLOGY ECOSYSTEM

Follow the connections.

60 of 56,856 nodes
Co-foundedResearch staff before founding FairchildCo-foundedCo-foundedCo-foundedExecutive vice president and founding board memberPartnerFirst outside investorCompleted acquisitionAcquiredFirst investmentChief financial officerJoinedSequoia investment partnerCo-foundedCo-foundedCo-foundedLed first venture investmentJoined the boardFirst venture investment led by Luke NosekFirst partnershipLed seed financingFirst partnershipAcquiredFirst partnershipAcquiredSequoia investment partnerFirst product managerCo-foundedUnix researchJoinedChief executive, chief technology officer and chairmanCo-founded through predecessor X.com and its mergerResearch fellowshipJoined the mathematical research departmentVice president and chief Internet evangelistParticipated in the $25 million roundPostdoctoral researcher in Hinton’s groupJoined AT&T Bell LaboratoriesCo-authored Deep learningCo-authored Deep learningCo-authored Deep learningCo-authored ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)Co-authored ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)Co-authored ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)Named Hinton as his doctoral advisor in the 2013 PhD thesisGraduate researcher supervised by Hinton, documented in the acquisition announcementCo-founded the Toronto neural-network companyJoined Google following the DNNresearch acquisitionCo-founded the Toronto neural-network companyJoined Google following the DNNresearch acquisitionCo-founded the Toronto neural-network companyJoined Google following the DNNresearch acquisitionAcquired DNNresearch; financial terms were not disclosedFounding lead of the team started in 2011Founding member and co-technical leadLed and described the team’s large-scale neural-network experimentsEarly intern and later research scientist; biography does not give the full employment rangeDoctoral advisor at StanfordCo-authored Building high-level features using large scale unsupervised learningCo-authored Building high-level features using large scale unsupervised learningCo-authored Building high-level features using large scale unsupervised learningCo-authored Building high-level features using large scale unsupervised learningCo-authored Building high-level features using large scale unsupervised learningCo-authored Building high-level features using large scale unsupervised learningCo-authored Sequence to Sequence Learning with Neural NetworksCo-founded DeepMindDoctoral co-advisor at the 2008 defenseAcquired DeepMind, as recorded by co-founder Shane LeggFounding co-chairFounding research directorNamed scientific advisor at launchNamed launch supporter; part of a collective funding commitmentNamed launch supporter; part of a collective funding commitmentCo-founded Anthropic; company publicly operating in 2021Co-founded Anthropic; company publicly operating in 2021Co-founded Anthropic; company publicly operating in 2021Co-founded Anthropic; company publicly operating in 2021Co-founded Anthropic; company publicly operating in 2021Senior research scientist before OpenAIVice president of research before AnthropicResearch associate, then research scientistJoined technical staff and led the interpretability teamHosted Olah’s Google Brain internshipHosted Olah’s Google Brain internshipCo-authored Scaling Laws for Neural Language ModelsCo-authored Scaling Laws for Neural Language ModelsCo-authored Scaling Laws for Neural Language ModelsCo-authored Scaling Laws for Neural Language ModelsCo-authored Scaling Laws for Neural Language ModelsCo-authored Scaling Laws for Neural Language ModelsCo-authored Language Models are Few-Shot Learners (GPT-3)Co-authored Language Models are Few-Shot Learners (GPT-3)Co-authored Language Models are Few-Shot Learners (GPT-3)Co-authored Language Models are Few-Shot Learners (GPT-3)Co-authored Language Models are Few-Shot Learners (GPT-3)Co-authored Language Models are Few-Shot Learners (GPT-3)Collaborated on scaling-law researchListed research affiliation on the GPT-3 paperListed research affiliation on the GPT-3 paperCo-founded TypeSafe AIPrevious role, according to the TypeSafe company biography; dates unspecifiedFormer researcher, described in Almeida’s launch essay; dates unspecifiedInstructGPT coauthor affiliated with OpenAIOOpenAIGGoogleGHGeoffrey HintonPPayPalFFacebookISIlya SutskeverSMSun MicrosystemsAAnthropicFSFairchild SemiconductorSSShockley SemiconductorDADario AmodeiSCSequoia CapitalBLBell LabsGBGoogle BrainTBTom BrownSMSam McCandlishPTPeter ThielQLQuoc LeYYouTubeIfInstitute for Advanced StudyYLYann LeCunJKJared KaplanMAMarc AndreessenFFFounders FundOOracleLNLuke NosekSSpaceXIInstagramRRedditECEckert-Mauchly Computer CorporationEMElon MuskVCVint CerfYBYoshua BengioAKAlex KrizhevskyANAndrew NgJDJeff DeanGCGreg CorradoDDeepMindCOChris OlahDADiogo AlmeidaEKEugene KleinerAAmelcoNNetscapeRHReid HoffmanRBRoelof BothaYCY CombinatorSStripeAAirbnbWWhatsAppSSalesforceASAydin SenkutJPJ. Presper EckertDRDennis RitchieWHWerner HeisenbergIIonQCSClaude ShannonJSJurgen SchmidhuberDDNNresearchSLShane LeggTATypeSafe AI
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The confirmed identity catalog

Identities, sourced affiliations, and news associations retain their own evidence.

38,996Wikipedia-confirmed people ↗17,830Wikipedia-confirmed organizations ↗10Crunchbase identities ↗
The wider research archive

The graph grows through identity and source review.

21.3mStored archive records scanned106,907NYT discovery candidatesSearch the archive ↗
The threads that connect us

Companies end. Networks keep building.

From semiconductor pioneers and the PayPal diaspora to the deep-learning generation, explore how shared experience becomes the next wave of companies and investors.

176 curated people ↗ · Meet the tribes ↗