Tommy Vo Tran
@tomvotran
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Member of Technical Staff @p0. Formerly @SandiaLabs @AkunaCapital, @Optiver, CS @UCLA
Palo Alto, CA
Joined August 2023
We’re happy to announce that Parallel has raised a $100M Series A to build search, infrastructure, and research tools for AI agents!
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Have you ever wanted to Find all sellers of 69/106 Mega M Charizard X EX PSA 10 and their locations and prices. https://t.co/4E8xAL5HNE Now you can! Try us out at https://t.co/t0dD2nROES
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I’m starting to get into a habit of reading everything (blogs, articles, book chapters,…) with LLMs. Usually pass 1 is manual, then pass 2 “explain/summarize”, pass 3 Q&A. I usually end up with a better/deeper understanding than if I moved on. Growing to among top use cases. On
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A room full of AI engineers just voted Perplexity most likely to fail at a major conference and nobody’s talking about what that actually means. These are the people building LLM products. They looked at a $20B valuation and said “dead company walking.” That’s not skepticism
Interesting how cursor has managed to stick the landing (so far) but everyone seems to agree perplexity is doomed
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@pranay_rs Yeah all we need is for X to bring back Facebook's old Relationship Status tag, and then we can monitor looking for the perfect husband etc.
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actually, I found one within a few hours
The Roommate Finder: One of our engineers set up a monitor looking for the perfect roommate - and found one within a couple of days.
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2014: Working with @paraga on scaling Twitter 2025: Investing in his $100M Series A for @p0 Ever since we invested in his seed 2 years ago, the @firstround team has had the privilege of partnering closely with Parag as he’s built a stacked team that’s created world-class web
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Tornyol (@tornyolsystems) is building micro-drones that kill mosquitoes. They use smartphone microphones, car park assist sensors, and some clever DSP and control to transform 40-gram toy drones into mosquito killers.
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@paraga Massive kudos to the Parallel eng team for engineering the most LLM-native search engine API on the market.
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today @p0 publicly launches its Search API. Many users already rely on our Search API for high-volume production workflows. These benchmarks we launched today tell the story clearly -- Parallel's Search API is state-of-the-art for agentic use cases. Excited to hear from
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Super stoked about this! Our main offering are the APIs for programmatic agents to use, but humans can still try us out at https://t.co/kBiZDkAQw4. Check out our quality and low latency!
Today, we’re launching the Parallel Search API, the most accurate web search for AI agents, built using our proprietary web index and retrieval infrastructure. Traditional search ranks URLs for humans to click. AI search needs something different: the right tokens in their
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Awesome to ship this with the team
The Parallel Task API has set the new standard for accuracy on SealQA, a challenge benchmark for search-augmented LLMs. On SEAL-0, our Pro tier scores 52.3% on accuracy, 35% better than Perplexity Deep Research at 92% lower cost.
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Dear “15-18 yo founder”s sending me DMs, don’t. Go and hug your parents, fall in love, eat chocolate cereal for breakfast, read poetry. Nobody will give you back these years. And sure, do your homework and learn math and code if that feels fun. But stop building SaaS and
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The team at @Day_ai_app built an AI-native CRM that combines internal data (Slack, email) with live web research via Parallel's Task API. The result: systems that understand external context like leadership changes, funding rounds, or public strategy, alongside private
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Awesome case study by the team covering Parallel + Gumloop integration!
AI-native automation with @gumloop_ai allows anyone to build time-saving workflows that are grounded in real-world information, powered by Parallel. Here’s how it works 👇
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