Alok Bishoyi
@alokbishoyi97 • 5,154 subscribers
hillclimbing at @evo__hq (yc f26). @iitbombay alum occasional high-temp sampling.
Videos
for those of you who are autoresearch pilled , or have been meaning to get into autoresearch but dont know how - I shipped evo today - a opensource Claude Code plugin that optimizes code through experiments you hand it a codebase. it finds a benchmark, runs the baseline, then fires off parallel agents to try to beat it. kept if better, discarded if worse. inspired by Andrej Karpathy's autoresearch, but with structure on top: - tree search over greedy hill-climb — multiple forks from any committed node - N parallel agents in git worktrees - shared failure traces so agents don't repeat each other's mistakes - regression gates
Alok Bishoyi199,151 Aufrufe • vor 5 Monaten
Introducing EVO Router - a smart router that continuously optimizes and hill-climbs on your AI inference workloads. It learns from your code, prompts, production traffic, use cases, and SLAs, then searches for the best setup for every workload. That can mean more than choosing just a single model or routing through a classifier. EVO (YC F26) can optimize across model × provider combinations, fusion systems, cascades, routing policies, and prompts — whatever the workload allows, while staying within your quality, latency, and reliability constraints. As open-source models move closer to frontier-model performance, we believe this kind of workload-specific hill-climbing will become an important part of how AI systems are deployed and operated. Our early users have seen 30–60% lower inference costs across use cases ranging from complex multi-turn agents to asynchronous batch workloads. EVO Router has also reached the Pareto frontier on several benchmarks, outperforming existing setups on cost, quality, or both.
Alok Bishoyi16,049 Aufrufe • vor 1 Monat
announcing evo x Claude Science you can now run EVO (YC F26) natively inside claude science with just a few clicks. Use the data integrations and form factor of Claude science to now use EVO to run long running autoresearch runs inside it- setting up baselines, running hundreds of gated experiments, keep a durable scored frontier, hill-climb unattended. On the compute you already use. Best of both worlds. we have over 25k+ users and a wonderful community of bio researchers that use EVO. Cant wait to see what all you do with it !
Alok Bishoyi13,763 Aufrufe • vor 2 Monaten
evo v0.3 is now out! evo now has RLMs, forked context agents and much more ! read the thread for more details for those unaware : evo helps you run autoresearch on your codebase. its a simple claude code / codex / openclaw / hermes agent plugin that's super easy to install and get started with here's whats new in v0.3 -
Alok Bishoyi20,696 Aufrufe • vor 5 Monaten
with the latest version of evo , you can now run autoresearch loops super easily inside Cursor with just two commands - /discover and /optimize that evo ships get evo on cursor with two simple installation steps $ uv tool install evo-hq-cli $ evo install cursor
Alok Bishoyi17,041 Aufrufe • vor 4 Monaten
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