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Dan Feaheny
28.1K posts

Dan Feaheny
@danfeaheny
Data Platforms and Digital Money
City of London, UK 가입일 Eylül 2009
5K 팔로잉3.7K 팔로워
Dan Feaheny 리트윗함

TechnoVision 2026: E future of #FinancialServices- @Capgemini
#Banking #FinTech #finserv #Bigdata #Artificialintelligence #GenAI #AgenticAI #Personalization #interoperability #Regulation #RegTech
@Damien_CABADI @mikeflache @bamitav @Corix_JC @jasuja
capgemini.com/insights/resea…

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Dan Feaheny 리트윗함

The CEO of Y Combinator just open-sourced his entire AI development setup.
And it is already at 72,600 stars on GitHub.
Garry Tan runs Y Combinator. He has worked with Coinbase, Instacart, and Rippling when they were two people in a garage. Before that he was one of the first engineers at Palantir. He has seen more startups build product than almost anyone alive.
He is now shipping 10,000 to 20,000 lines of production code per day. Part-time. While running YC full-time.
In the last 60 days alone: 600,000 lines of production code. 35% of it tests.
That number is not a typo.
Here is exactly how he does it.
He built a system called gstack — 23 AI tools that turn Claude Code into a full engineering team. He open-sourced the entire thing. Free. MIT license. One command to install. And then he posted the quote that explains why he built it:
"I don't think I've typed like a line of code probably since December, basically, which is an extremely large change." — Andrej Karpathy, March 2026.
When Tan heard that, he wanted to find out how. The result is gstack.
Here is what the 23 tools actually do.
There is a CEO tool that challenges your product framing before you write a line of code. It does not just approve your idea. It finds the 10-star product hiding inside what you described and pushes back on everything you got wrong.
There is an engineering manager that locks architecture, draws ASCII diagrams of data flow, and forces hidden assumptions into the open before anything gets built.
There is a designer that rates every design decision on a 0 to 10 scale, explains what a 10 looks like, and edits the plan until it gets there. It also has AI slop detection. It catches the generic AI output that looks fine and ships badly.
There is a QA lead that opens a real browser, clicks through your actual app, finds bugs, writes regression tests, and verifies the fix. Not a simulation. A real browser.
There is a security officer that runs OWASP Top 10 and STRIDE threat modeling with 17 false positive exclusions built in, so you only see findings that actually matter.
There is a release engineer that syncs main, runs tests, audits coverage, pushes, and opens the PR. One command from approved to shipped.
And then there is something Tan says was the biggest unlock of all.
You can run 10 to 15 of these sprints in parallel. Each one in its own isolated workspace. One agent challenging a product idea. One implementing a feature. One doing QA on staging. Six more on separate branches. All at the same time.
Tan's GitHub contribution graph for 2026 is a vertical wall. In 2013, building Bookface at YC from scratch, he made 772 contributions in a year. In 2026, he is at 1,237 — and still climbing.
Same person. Different era. The difference is the tooling.
One more thing.
In the README, Tan quotes the number directly: 140,751 lines added. 362 commits. 115,000 net lines of code. In one week. Part-time.
That is not what a solo developer looks like. That is what a team looks like.
Except it is one person with 23 AI specialists and a GitHub repo you can clone right now for free.
github.com/garrytan/gstack

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Dan Feaheny 리트윗함

Trust at e speed of #AI: Building a #cybersecurity strategy for #ArtificialIntelligence-@NTTDATA
#Bigdata #GenAI #Dataprivacy #Databreach #Fintech #Finserv #AIrisk #AIregulation #Regulation #Regtech
@Damien_CABADI @bamitav @mikeflache @Corix_JC @efipm
nttdata.com/global/en/insi…

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Dan Feaheny 리트윗함
Dan Feaheny 리트윗함
Dan Feaheny 리트윗함
Dan Feaheny 리트윗함
Dan Feaheny 리트윗함
Dan Feaheny 리트윗함

The #AI value gap- Why #Artificialintelligence deployment is outpacing #value realization- @RolandBerger
#Bigdata #AIsystem #AIinvestment #AIskill #Fintech #Finserv #Regulation #Regtech
@Damien_CABADI @bamitav @mikeflache @Corix_JC @Nicochan33
rolandberger.com/en/Insights/Pu…

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Dan Feaheny 리트윗함

The #AI value gap- Why #Artificialintelligence deployment is outpacing #value realization- @RolandBerger
#Bigdata #AIsystem #AIinvestment #AIskill #Fintech #Finserv #Regulation #Regtech
@Damien_CABADI @bamitav @mikeflache @Corix_JC @Nicochan33
rolandberger.com/en/Insights/Pu…

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Dan Feaheny 리트윗함
Dan Feaheny 리트윗함






