Building @AnthropicAI and River. Formerly @StainlessAPI, @MuxHQ, co-Founder @DistruApp, Opendoor and Heroku alum.

Austin, TX
Joined November 2009
Blake Gentry retweeted
A really short piece (point form) on the Postgres subtransactions and exorcizing them from River. Written in part to remind myself why they're so prone to causing performance issues in the first place. riverqueue.com/blog/subtrans…
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Blake Gentry retweeted
It’s feeling really magical inside of Shopify right now. It’s clearly the greatest time in the history of tech industry right now. I hope it feels similar everywhere else.
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Blake Gentry retweeted
Huge River ship (biggest ever?): River, the polyglot queue. We've transliterated the project to Rust, TS, and Ruby and refined implementation and APIs endlessly. The result is the full River core, rewritten from the ground up. No Go dependency required. riverqueue.com/blog/polyglot…
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Blake Gentry retweeted
Released River v0.48 + River Pro v0.31, and the fixed section is longer than my screen. This is a hardening release with only a couple new features, but we did add Yugabyte support. That's fun. github.com/riverqueue/river/…
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Ran into @mitchellh in the West Village tonight
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Blake Gentry retweeted
Short post on a recent River story — A new feature (active job rescue) was about to significantly degrade perf on one of our queries. The most obvious fix was to add a new index, and a year ago we would've done just that, shipping a new migration, and that would be that. Today, instead of doing so right away, @blakegentry had Codex experiment with alternative query shapes and try to iterate to something more performant. LLM-as-laboratory. It worked! Use a MATERIALIZED CTE + multi-field join yielded up to 130x improvement compared to the first stab. Great perf meant no new migration which meant considerably less upgrade pain for users. Longer term, less pain → more users as fewer churn. Anyway, without further ado, Migration fatigue, and how LLMs help us avoid it: riverqueue.com/blog/migratio…
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Blake Gentry retweeted
River Pro v0.26 ships today with active job rescue: • Jobs may become orphaned if the process running them crashes with no opportunity for graceful stop that'd set them back to available. • Traditional job rescue compares job timeout to job start time, adding a safety margin, and rescuing anything that should be finished. • River Pro tracks live clients/queues in an UNLOGGED table (no added WAL pressure) that's frequently heartbeated. • Active job rescue rescues any running jobs in a client/queue that's not reporting, reducing rescue delay from hours to minutes.
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Blake Gentry retweeted
River road map for the next couple weeks: • Metrics [shipped] • Pro: Active job rescue • Turso support • Pro: Rate limiting More nebulous after that. Two that are working but I'm not sure about: • MySQL support • Pro: SQLite support Anyway, keep me accountable lol.
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Surely they all ate the fish, didn’t they?
JUST IN: Investigation underway after all 3 pilots on a British Airways flight from India to London fell ill with suspected food poisoning, leaving one incapacitated midair.
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Blake Gentry retweeted
River workflows V2: 6+ month project, it's the biggest revision to River ever: • 60% faster throughput. • Backlogs drained 20x faster. • Wait on arbitrary OOB signals. • Workflow timers. • Wait expressions (CEL). e.g. `approval_received || timeout`. riverqueue.com/blog/river-pr…
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Blake Gentry retweeted
We're thrilled to announce that Stainless is joining @AnthropicAI! Stainless was founded to make software better for everyone, and we're honored to continue that mission on the Anthropic team. Check out the announcement blog post for more: stainless.com/blog/stainless…
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Blake Gentry retweeted
Anthropic is acquiring @stainlessapi, an SDK and MCP server platform that has powered every Anthropic SDK since the earliest days of our API. Read more: anthropic.com/news/anthropic…
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In the live audience as this was being posted and couldn’t help shouting out before he clicked “post” on the original version with two typos, “WhiteHouse” and “American” 🤓
If current cuts to the Federal Science Budget proposed by the White House are approved by Congress, that will far-and-away be the largest cut to science since the United States began funding it. Republicans & Democrats alike know there’s no surer path to Making America Not-Great
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Blake Gentry retweeted
Put together a post on some of the history of job queues in Ruby and our experience transitioning the Heroku API over the years from Delayed::Job → Queue Classic → Que. Original commits from DJ and Resque were from @tobi and Chris Wanstrath. How cool. riverqueue.com/blog/ruby-que…
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I just stumbled upon Andurel, an effort by @mbvisti to bundle together a curated stack for Go web development. It's so cool to see that they chose River for its background job queue 🚀 github.com/mbvlabs/andurel
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Blake Gentry retweeted
We're excited to welcome @brandur to Stainless ✱ Brandur joins us from Snowflake, where he worked on managed database offerings, specializing in Postgres. Before that, he worked at Stripe & Heroku, building API infrastructure to help product teams ship efficiently and safely.
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We used @astrodotbuild for River's homepage, docs site, and customer portal—one of my favorite tech choices. It's such a great foundation for the new @StainlessAPI Docs Platform 🚀✨
Most API docs only show HTTP endpoints, but developers write code with SDKs. We're doing things differently with the Stainless Docs Platform, now available in early access. Stainless Docs are SDK-native. They update automatically when your API changes. Devs see your docs in the language of their choice with method signatures, types, and accurate code snippets.
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Blake Gentry retweeted
We're excited to welcome @blakegentry to the Stainless team ✱ Blake was an early engineer at Heroku, Opendoor, and Mux. He is also the co-creator of River, an open source background job engine for Go.
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I’m at GopherCon in NYC this week, reflecting on my first time attending in 2015 when they could thank all of Go’s contributors on two small pages. The community has grown so much since then. If you’re around, come find me to chat about River or just to say hi 👋🏻🗽
All of the #golang contributors, from the #GopherCon program
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