Travers

// building a parallel web for AIs // cofounder @p0 //

[Travers @travers00]

turbo mode is web search that's super fast (~200ms), super affordable ($1 per 1,000 searches), and high quality, opening up a whole new frontier of what agents can do with the web

it's built for the scale and shape of demand the agentic web requires

[Parallel Web Systems @p0]

Introducing Parallel Search Turbo: the fastest and most affordable way to bring the web to your AI.

[Travers @travers00]

@OfficialLoganK @GoogleAIStudio you should try the Parallel WebJev decisions benchmark and see how Gemini does!

https://t.co/hT2lmmMfMN

[Parallel Web Systems @p0]

Introducing the Scale plan: production rate limits and Zero Data Retention on Parallel, without an enterprise contract:

- Zero Data Retention (ZDR)
- 1,500 requests/min on Search and Extract

$1,000/month, with the flexibility to cancel anytime, or pay annually and get 2 months free.

Compare plans: https://t.co/w2YSWhHQIC

[Parallel Web Systems @p0]

Gemini 4 Carbon is now widely available on @googlecloud. We’re thrilled to be day-one launch partners.

Use Parallel to ground Gemini 4 Carbon natively and bring accurate, fast, and agent-ready web data to your production AI.

Get started: https://t.co/3HZTeIaSSu

[Travers @travers00]

@devingupta_ @aiDotEngineer banger

[Travers @travers00]

@marvelgirl_eth ohhhh cool

[Travers @travers00]

parallel is hiring across every team

- research + mts (search ranking, model training, compute scaling)
- deployed engineers
- design (brand, product, design eng)
- gtm
- marketing
- finance, legal + ops

sf, palo alto, nyc, london. if you want to build the web for its second user, come join us / tag them below

[Vals AI @ValsAI]

Claude Opus 5.5 with Parallel Fast is now #1 on the Vals Web Search Index, scoring 57.5% overall against 53.8% for the same model with native search a gain of 3.8pp.

[Parallel Web Systems @p0]

Parallel Search now leads the @ValsAI Web Search Index, delivering the best mix of quality score, cost, and speed for legal and finance research tasks.

Check out the full report: https://t.co/MoiRHzGgDj

[Sahith @jaga1520]

Parallel has a global legal index that spans over 600M docs. The companies at the frontier in legal ai trust parallel with their workflows!

[Nakul Mandan @nakul]

Parag Agrawal is building web search for AI agents. I asked him: Why isn't this Google's war to win? His answer: "I think you should invert the question."

Physics Olympiad gold. CS at IIT Bombay. Stanford PhD. Engineer → CTO → CEO of Twitter. Now founder and CEO of @p0.

Knuckle Up with @paraga is live ↓

--

00:00 Who is Parag Agrawal?
02:10 Was Parag always ambitious and competitive?
05:57 Why trade academic research for a junior engineering job at Twitter?
14:04 What took Parag from ads engineer to Twitter CEO?
19:06 Should a new CEO adapt themselves or the company?
23:09 Why bring back performance ratings in month one?
25:50 How do you lead through a contested takeover?
33:23 "40 is young": why become a founder after Twitter?
39:04 What makes agent search different from human search?
46:57 Why isn't agent search Google's or OpenAI's war to win?
51:09 Who pays content owners when agents stop clicking ads?
58:52 Will the web shift from pull to push?
1:04:20 Why only take jobs you feel unqualified for?
1:10:11 What does Parag's week look like?
1:15:06 How does Parag bet on alpha when hiring?
1:22:41 How has AI changed the way Parag runs Parallel?
1:31:32 Where does the burden of proof sit on AI regulation?
1:41:40 What does this journey actually require?

[Travers @travers00]

@ChaseMighell 🫡🫶

[Travers @travers00]

@mahmudolaguro here https://t.co/tiwPzFi7S7

[Travers @travers00]

@RealGraysenG yes!

[Travers @travers00]

@_kidrah_24 in-person across bay area, nyc, london

[Travers @travers00]

https://t.co/tiwPzFi7S7

[Parallel Web Systems @p0]

Announcing Parallel for Legal: upgrades to our index and ranking that put Parallel on the cost-accuracy frontier for legal AI search.

- On our private PWS-Legal benchmark, Parallel leads in accuracy and holds the entire Pareto frontier, beating every other provider at up to 2.3x lower cost.

- On Legal Hallucinations, Parallel delivers frontier accuracy at up to 2.6x lower cost to comparable providers.

- On LegalBench Citation, Parallel beats every other agentic search API on accuracy, at the same or lower cost.

Legal AI is only as good as the sources behind it. The evidence lives in court dockets, state codes, agency guidance, and international tribunals, and much of it sits on sites that general web search reaches poorly.

Just ask @Harvey, @GCAI, and @finchlegal, who already run Parallel in production.

[Travers @travers00]

@ccatalini yeah, and AI should theoretically accelerate diffusion itself (it has already). but we’ve only let it run and/or see the gains in pockets

unclear how k-shaped that diffusion will be and over what time period to broaden

[Travers @travers00]

if model capabilities are improving 2x faster, research staff productivity is accelerating much more rapidly (~9x?)

follow the curve, and that gets us to an interesting spot

and yet productivity across the broader economy is growing a few percent a year… interesting times

[Travers @travers00]

for anyone in nyc reading the S-1 and looking for where the productivity gains actually show up, i'd start here

the highest skilled labor is showing signs of the highest levels of acceleration

[Travers @travers00]

https://t.co/l3BAuIs391

[Travers @travers00]

@willbeddow5366 co-sign