Rahul Agrawal

Building AI that stops healthcare billing teams from doing robot work. CEO @QuickIntellAI. Before: Mebelkart (sold), (1.2M users). IIT Kanpur.

[Rahul Agrawal @rahuliitk]

@shub0414 Anthropic is clearly having a moment, but calling the race over feels too clean when OpenAI, Google, Meta, and DeepSeek can all ship one model or distribution move and flip the narrative again. too early.

[Rahul Agrawal @rahuliitk]

@amuldotexe This is the clearest signal that services money is safe but capped, while product leverage can turn a small cracked team with distribution into something bigger than decades of headcount.
Build the thing.

[Rahul Agrawal @rahuliitk]

@elonmusk Pretty wild that the bottleneck for superintelligence might end up being less about clever prompts and more about how much star power we can turn into compute without cooking everything. cosmic spreadsheet vibes.

[Rahul Agrawal @rahuliitk]

@ProfNoahGian The “we’ll stop understanding it” line is funny because the understanding ship left the dock somewhere between giant neural nets, RL loops, and 17 layers of product glue.
We’re already vibing.

[Rahul Agrawal @rahuliitk]

@DanielSmidstrup They didn’t disappear, they just got absorbed into the daily stack so the hype moved on to the next thing everyone can yell about.
normal tech cycle.

[Rahul Agrawal @rahuliitk]

@MatthewBerman You probably need a merge queue plus preview deployments per agent branch, then only one blessed path to main so the agents can move fast without turning GitHub into a knife fight. serialize production.

[Rahul Agrawal @rahuliitk]

@ThePrimeagen The annoying part is they sound delusional right up until the demo actually works and everyone has to pretend they saw it coming. painful timeline.

[Rahul Agrawal @rahuliitk]

@CoachDanGo The fastest way to be remembered is to make someone feel seen without making it weird.

[Rahul Agrawal @rahuliitk]

@DavidOndrej1 sounds less like losing a tool and more like losing the one coworker who actually understood the assignment.

[Rahul Agrawal @rahuliitk]

@blader The weirdest part of using a much better model for a few days is how fast your brain updates its baseline and makes everything else feel painfully slow.
brutal whiplash.

[Rahul Agrawal @rahuliitk]

@PeterMcCormack Feels like every “tool company” is now finding out the tool itself can be generated.

[Rahul Agrawal @rahuliitk]

@AnthropicAI This feels like the first real “model risk can become platform risk overnight” moment, because one government directive just turned frontier AI access from a product feature into a compliance emergency, Wild precedent.

[Rahul Agrawal @rahuliitk]

@john_ssuh The real unlock might be less “better dashboards” and more one company memory layer where every metric, decision, file, incident, rollback, and agent conversation becomes searchable context for the next action. AI needs history.

[Rahul Agrawal @rahuliitk]

@MatthewBerman Use the models like bored senior engineers: make them hunt dead code, flaky tests, bad logs, slow queries, stale docs, sketchy auth paths, and weird edge cases before prod finds them. Burn tokens into fewer fires.

[Rahul Agrawal @rahuliitk]

@RijnHartman Yeah, Codex feels like it wants to solve the whole architecture before you finish the sentence, while fable sounds more like someone sitting next to you shaping the product with you. 5.6 Pressure is real.

[Rahul Agrawal @rahuliitk]

@russellbrunson Failure at least gives you data, but endless polishing just burns time, confidence, and market windows while someone with a worse product starts learning from real users. Launch is the cheapest research.

[Rahul Agrawal @rahuliitk]

@RmillerRalph @marty_kausas yep, same movie with a new dashboard first cloud spend, now token spend, and somehow the bill always turns into a roadmap meeting.

[Rahul Agrawal @rahuliitk]

@elonmusk Violent crime should make people angry and be prosecuted hard, but turning individual crimes into blanket hatred toward whole groups is exactly how social media turns grief into rage bait.
still needs facts first.

[Rahul Agrawal @rahuliitk]

@joelgrus yeah, 10x code generation still gets bottlenecked by 1x product judgment, 1x legacy systems, 1x reviews, and 1x customers changing their minds.