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Pranay Reddy
49 posts
Pranay Reddy
@pranay_rs
Engineer @p0 | Stanford | IITB
San Francisco Bay Area Katılım Temmuz 2013
171 Takip Edilen321 Takipçiler
We're building an information exchange between AI agents and content owners - get paid for your unique content by signing up at index.parallel.ai/join
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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@agarwalipshita @p0 Who do we contact if we are interested in learning more? We have been vocal advocates for recipe sites and the open web. What you’re doing is desperately needed 🙌 What Google is doing to our photos, videos, recipes, and brand name is shameful. seroundtable.com/googles-ai-fra…
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I joined @p0 because of THIS mission - we power the best web search for AI agents, AND we're now launching the platform for the world's leading publishers and content creators to get paid for their content. Journalism deserves more, and we are hoping to usher in that change ✨
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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Pranay Reddy retweetledi
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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Very excited to see it be generally available! Especially thankful to the early customers who made this possible.
Parallel Web Systems@p0
Leading companies like @Gumloop, @FormationBio, @useactively, @interaction, @rocketdotnew, and Garnett Station Partners are already running monitoring workflows in production. Learn more: parallel.ai/blog/monitor-a… Start building today: docs.parallel.ai/monitor-api/mo…
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Pranay Reddy retweetledi
Today, we’re announcing the general availability of the Parallel Monitor API.
The web is shifting from pull to push, and agents are coming online. This release marks a major step towards a more proactive model, where the web pushes updates directly to your background agent.
Monitor now includes:
- Lite and Base processors
- Event streams and snapshots
- Rich attribution (Basis) on every event
- Advanced domain filtering
- Interactions for persistent follow-on research
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@mgarimella @useactively you guys are the best and think so far ahead. Thanks for pushing us!
Mihir Garimella@mgarimella
@p0 has become critical infrastructure for us at @useactively. We made the early design decision to use browsing agents instead of buying structured datasets and it's paid off tremendously — and @p0 does it best :) Very excited for the partnership!
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Pranay Reddy retweetledi
We raised a Series B led by @sequoia at a $2 billion valuation and I’m excited to welcome @andrew__reed to our board.
All our existing investors doubled down: @kleinerperkins, @IndexVentures, @khoslaventures, @firstround, @sparkcapital, @AbstractVC, and @terraincap.
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@Whatevercrypto @p0 We just dropped a free search tier for developers; do check it out!
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@pranay_rs @p0 What kind of endpoints do you offer besides search? Is it easy to load $5(or a free tier) in credits and test everything in a few minutes?
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Key Ideas to building the best web research agents:
a. Interpreter sandboxes
b. Aggressive Compaction & Prompt Caching
c. Budget Aware Execution
d. Search Infra that maximizes info per token
Learn more at parallel.ai/blog/deepsearc…
Parallel Web Systems@p0
Yesterday, we published new state-of-the-art results on DeepSearchQA with Parallel's Task API. Here’s a high-level look at the Task API Harness that helped us achieve these new heights:
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Pranay Reddy retweetledi
We built a completely free CLI agent with @badlogicgames's Pi agent, @ollama (Gemma 4), and Parallel's new free web search MCP.
Check out the blog post to see how to do it yourself: parallel.ai/blog/free-CLI-…
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Pranay Reddy retweetledi
We've made our search MCP super easy to use. No need for an account or API keys. And it's free!
claude code prompt: "add free search.parallel.ai/mcp - no auth needed. add permissions.allow for both tools and deny native web search and fetch"
codex cli prompt: "edit ~/.codex/config.toml to add web_search = "disabled" and add the free mcp search.parallel.ai/mcp - no auth needed"
Parallel Web Systems@p0
The best web search for agents is now free. Upgrade to Parallel's web search tools in any MCP-supported tool or agent, for free, in under 60 seconds. No account. No API keys. Zero cost. docs.parallel.ai/integrations/m…
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Pranay Reddy retweetledi
Over 70% of people don't trust what they read online. Increasingly, it's getting harder to tell what's real.
So, we built a content fact-checker with @p0 that verifies any article in under 10 seconds.
Powered by @cerebras' fast inference up to 2,000 tokens/sec and @p0 Search and Extract API.
Check out the full cookbook below!
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@Whatevercrypto @p0 We offer task (web agents and deep research) and monitoring APIs. It’s easy to load credits - just sign up on platform.parallel.ai
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Love this new feature - @gumloop is pioneering the new UX: agents working autonomously in the background.
Happy that @p0 could help with this
Gumloop@gumloop
Gumloop agents can now monitor the situation. Tell it what to look for across any app, any condition. When the moment hits, it acts. Gumloop agents used to only work with you, now - they can also work for you. Try it out on Gumloop today.
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We @neosigmaai @RitvikKapila are building the future of self-improving AI systems! By closing the feedback loop between production data and system improvements, we help teams capture failures, convert them into structured evaluation signals, and use them to drive continuous improvements in agent behavior.
We show how our system works on Tau3 bench across retail, telecom, and airline domains. Agent performance on the validation set (with a fixed underlying model, GPT5.4) improves from 0.56 → 0.78 (~40% jump in accuracy).
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Pranay Reddy retweetledi
It’s a special privilege to be able to partner with companies building on the frontier.
Because of this deep partnership with the team at @harvey, AI agents can now search and access content on the web that hasn’t been indexed by search engines built for humans.
Parallel Web Systems@p0
We’re thrilled to highlight our new collaboration with @harvey, the leading AI platform for legal and professional services. Harvey uses Parallel’s accurate, relevant, and fresh web search across their platform to retrieve valuable public context for their legal AI workflows. Together, we’re helping Harvey expand its best-in-class AI legal platform to over 60+ countries by collaborating on a specialized index of hard-to-reach international legal domains, built on our custom web search infrastructure. To learn more about Harvey and Parallel, read our blog: parallel.ai/blog/case-stud…
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Had a blast working on this with @harvey and my colleagues @p0. A great team to collaborate with - it's incredible to see how together we were able to build something so useful for lawyers
Parallel Web Systems@p0
We’re thrilled to highlight our new collaboration with @harvey, the leading AI platform for legal and professional services. Harvey uses Parallel’s accurate, relevant, and fresh web search across their platform to retrieve valuable public context for their legal AI workflows. Together, we’re helping Harvey expand its best-in-class AI legal platform to over 60+ countries by collaborating on a specialized index of hard-to-reach international legal domains, built on our custom web search infrastructure. To learn more about Harvey and Parallel, read our blog: parallel.ai/blog/case-stud…
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Today, we're launching the Parallel Monitor API.
Define a query once and receive ongoing updates whenever new related information appears on the web.
It's like a web search that's always on, or a webhook for the entire web.
parallel.ai/blog/monitor-a…
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Pranay Reddy retweetledi
reception has been unlike anything we've seen
the emergent pattern: monitors triggering downstream agents - deep research, workflows, actions
the web becomes something agents subscribe to vs. query
Parallel Web Systems@p0
Introducing structured outputs for the Parallel Monitor API: Monitors are always-on web searches that notify you when new information becomes available on the web. With this release, you can now configure your monitors to deliver structured responses with a schema of your choice. Learn more: parallel.ai/blog/structure…
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Parallel : AI :: Google : Human
Thrilled to be an official partner!
Parallel Web Systems@p0
We’re thrilled to announce that Grounding with Parallel web search is now available, in preview, on Google Vertex AI. Learn more and get started with @Google's official documentation: docs.cloud.google.com/vertex-ai/gene…
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