Parag Agrawal

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Parag Agrawal

Parag Agrawal

@paraga

founder/ceo @p0 https://t.co/KLxULH5Io7, device following @vintweeta

San Francisco, CA Katılım Nisan 2008
1.5K Takip Edilen542.2K Takipçiler
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Parallel Web Systems
Build runs 50+ Monitor API queries per project: grid capacity, zoning dockets, council agendas, competitor filings. The Task API then validates every event against dynamic geofences, pulling actual jurisdiction polygons from OpenStreetMap instead of fixed-radius circles.
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Baseten
Baseten@baseten·
Agents will use the web more than humans ever have. High-accuracy AI web search is what @p0 is built for. We're proud to power the training and inference behind its Web Tool APIs, with 2x lower latency, 3x higher throughput, and 3x lower cost.
Baseten@baseten

x.com/i/article/2075…

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Parag Agrawal@paraga·
Maik Taro Wehmeyer@MaikTWehmeyer

We raised a $110M Series C to power AI transformation in financial services. Led by Goldman Sachs, with participation from @balderton, @IndexVentures , @dig_ventures, @tigerglobal, @VisionariesVC, and @ycombinator. Great news for banks and insurers. Tough news for fraudsters and money launderers. Tough news for credit processes that make businesses wait weeks for an answer. Tough news for onboarding workflows that reject good customers. Tough news for claims processes where a single review takes days. We’re serious about solving our customers’ problems, so we hired the toughest people on the planet to get the word out: New Yorkers. If they didn’t convince you yet, here’s what we want everyone in our industry to know: AI can now reliably automate the decisions that define performance in banking and insurance. This was not true just 6 months ago - and it creates huge opportunity for efficiency gains and better customer experiences. But model capability is not the full solution. The challenge is making every AI-driven decision reliable, controlled, and ready for the most regulated industry. That’s what we’re building at @taktile_org. From New York to the world. To our customers, partners, investors, and team: thank you for getting us here. Very excited to collaborate with the @GoldmanSachs Asset Management team on the next chapter. Learn more: taktile.com/series-c-annou…

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John Melas-Kyriazi
John Melas-Kyriazi@jmelaskyriazi·
Standard Metrics just launched web search in our AI Analyst, and the partner powering it is Parallel Web Systems. @metrics_co 🤝 @p0 🔍 When evaluating providers, we were looking for a providers with advanced URL reading, structured content extraction, and the ability to handle nuanced financial queries at scale. Parallel delivered. Now investors can compare portfolio companies to public comps, track news sentiment, surface financing rounds, and pull specific facts directly into LP updates, all without leaving our AI Analyst. Huge thanks to the Parallel team and more on what's possible via the launch at our latest blog: standardmetrics.io/introducing-we…
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Hex
Hex@_hex_tech·
We’re bringing the web to your data 🌐 Hex already knows what's happening inside your business, and now the Hex agent can fill in the gaps with what's happening outside. The Hex agent can search the web, powered by @p0 Learn more in the comments below ⬇️
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Markie Wagner
Markie Wagner@markiewagner·
Introducing @PoeticHQ: a new AI system that executes complex multi-hour tasks with 99%+ accuracy and 10x fewer tokens than agents. We raised $50M at $500M from Kleiner Perkins, Founders Fund, First Harmonic, and Genius Ventures to build AI that does complex work inside Fortune 500 companies without hallucination. While code is too brittle, agents are too unpredictable. The work that runs the global economy - anti-money laundering, fraud investigations, underwriting - needs extreme accuracy. So we built a new kind of software that pairs the flexibility of AI with the predictability of code. When the world stays the same, Poetic runs fixed code: fast, cheap, identical every time. When the world changes, Poetic uses AI to regenerate its approach and find its way back to the objective. In one year, we went from zero to an eight-figure run rate as a team of four. Since then, we’ve scaled the team and executed the highest-stakes processes at AIG, SoFi, and Chime. At SoFi, a large US bank, Poetic reached 99%+ quality on fraud investigations in five weeks.
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Parallel Web Systems
We're thrilled to build on our collaborations with @stripe, joining Stripe Projects to make it easier than ever to provision high-accuracy web search from the terminal. Here's how quickly you can get started:
Stripe@stripe

New providers now available on Stripe Projects: @Wix @laravelphp @HeyGen @prisma @automattic @p0 @ExaAILabs @Base44 @ClickHouseDB @supermemory  @usekernel @blaxelai @getmetronome @AgentPhoneHQ @e2b @postalform

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Parag Agrawal@paraga·
first time on video @travers00 talking about our work at @p0
Willem@vanlancker

Following rapid growth, a $100M Series B, and a slate of new launches, I sat down with Parallel co-founder @travers00. @p0 is building core search infrastructure for the agentic web: systems that enable AI to retrieve, structure, and reason over information across the internet with speed, accuracy, and reliability. I joined Travers at Parallel’s new Palo Alto office for a wide-ranging conversation on: > The pace going from launch last August to becoming critical infrastructure powering production workflows at companies like Notion, Harvey, Granola, and more. > Why Parallel sees the future of search as far beyond “ten blue links,” toward systems built for retrieval, reasoning, monitoring, and computation. > The changing nature of the web itself: its economics, openness, and what happens as agents become primary users. > The artistry and legacy of internet history shaping the company: Olivetti typewriters, Douglas Hofstadler, Lloyd Shapley, Christo & Jeanne-Claude, Google’s Search Box, and how it inspired programs like the Museum of the Human Web. This is an extensive and wide ranging look into one of the most interesting sectors of the agentic web. We @terraincap feel lucky to have worked with Travers and the team since the start just two years ago. So much to do.

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Alex C
Alex C@AlexQuellsIt·
@paraga Any x402 APIs or only MPP at this point?
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Parag Agrawal@paraga·
Yes! For humans, ads was the most efficient business model due to the human cognitive overhead with payments. With agents, direct payments will work much better. This is why I’m so optimistic about high quality content thriving on the web as agents take over.
Patrick Collison@patrickc

Cool release from @p0. I think this use-case (agents paying content creators for access via @mpp) will be very big. Micropayment walls haven't worked (as Clay Shirky anticipated many years ago) because of human cognitive overhead, but agents can make arbitrarily granular determinations without decision fatigue.

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Brett Berson
Brett Berson@brettberson·
There are a small number of elite go to market leaders. Graham Moreno is one of them. He recently joined @p0 to help lead GTM. Before that, he was at Cognition, Grafana, and MongoDB. One of his core philosophies is that a great go to market system raises the floor and introduces predictability while still leaving space for exceptional people to use their judgment to delight the customer. “One of my favorite stories is, one of the best reps I’ve ever worked with, during the pandemic found out that the son of a champion at one of his companies had been taking guitar lessons and couldn’t anymore because of COVID. So he ended up teaching this guy’s kid guitar over Zoom during COVID. And he also didn’t tell anyone. No one found out about this for a long time. Then the champion at this account brought it up on a call with me six months later and was like, ‘Oh yeah, Isaac has been teaching my son how to play guitar.’ At no part in our process does it say, ‘teach someone guitar.’” This is one of my favorite deep dives on what it means to be an executional revenue leader in a post AI world. Hope you enjoy it as much as I did. Timestamps 00:32 Has the sales playbook changed in the AI era? 02:13 Why "showing up" beats letting the marketplace decide 06:50 Why great salespeople sell to engineers and executives in one motion 11:37 Selling to AI-native buyers who grew up on ChatGPT 13:49 Same seller, different tempo: 8 weeks vs. 8 business days 15:57 How AI-native buyers handle build vs. buy decisions 17:48 The rep who taught a champion's son guitar over Zoom 19:03 Raising the floor without capping the ceiling 22:09 Why too much process narrows the kind of seller you attract 25:46 The three pillars of GTM excellence 31:00 Building peers who are 80% aligned, not 100% 38:03 Whether AI is changing what good enablement looks like 41:35 Selling against direct and implied competitors at once 42:45 Instrumenting the funnel from stage zero to close 45:57 Why post-sales should always roll up to the revenue leader 48:19 The case for outsized commissions 52:02 The 96 hours of panic before Cognition acquired Windsurf 53:04 How far out should a GTM leader be planning? 57:53 What a normal week looks like in hypergrowth
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Parag Agrawal
Parag Agrawal@paraga·
We started @p0 based on the belief that AI agents will use the web 1000x more than humans, and we need new tech and business models as a result. We are already seeing agents scale on our infrastructure, and this is the starting point for a new business model for the web.
Parallel Web Systems@p0

Today we're launching Index: a platform for content owners to understand how AI agents use their work, and earn revenue when they do. Our first partners include @TheAtlantic, @FortuneMagazine, @PRNewswire, @PitchBook, @ZoomInfo, @Tracxn, @RocketReachCo, @enigma_data, @fiscal_ai, plus creators @alexeheath, @mariogabriele @azeem, @every, and @packyM.

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