The Co-Analyst is built for institutional equity research - providing the precision of a terminal with the adaptability of AI. Get the data you need — fast, precise, and verifiable.
I’m Kris, co-founder of Hudson Labs with @piesauce. After years in finance and AI research, we’re excited to introduce the Co-Analyst — our high-precision AI platform built for institutional investors, hedge funds, and asset managers
Why we built this
We built the Co-Analyst after seeing the limits of traditional terminals like Bloomberg and FactSet. They’re great for standardized data, but analyzing guidance trends, niche operating metrics, supply chain exposure, product-level results etc. still require painfully manual workflows.
Generalist AI tools haven’t solved this. They break down in the workflows that matter most to investors — multi-document and multi-period analysis, guidance extraction, and numeric accuracy — failing to meet the reliability standards of institutional-grade research.
So we built the Co-Analyst:
- 🎯 Terminal-grade precision + AI adaptability - 🗂 Any metric, any source, any format — filings, transcripts, presentations, press releases - 📈 Soft guidance captured — every hedge, every forward-looking statement - 📝 Verbatim call summaries — no spin, no paraphrase - ⚡ 2 hours instead of 2 weeks to get up to speed on a new name
All direct-from-source, with no hallucinations, no prompting gymnastics.
Feedback:
- Any big wins you’ve had using AI in investment research? - Any frustrations? - What do you want from an AI tool for investing?
About Hudson Labs on Product Hunt
“High-precision AI, purpose-built for investors”
Hudson Labs launched on Product Hunt on September 10th, 2025 and earned 133 upvotes and 19 comments, placing #9 on the daily leaderboard. The Co-Analyst is built for institutional equity research - providing the precision of a terminal with the adaptability of AI. Get the data you need — fast, precise, and verifiable.
On the analytics side, Hudson Labs competes within Investing, Artificial Intelligence and Finance — topics that collectively have 498.7k followers on Product Hunt. The dashboard above tracks how Hudson Labs performed against the three products that launched closest to it on the same day.
Who hunted Hudson Labs?
Hudson Labs was hunted by Garry Tan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Hudson Labs including community comment highlights and product details, visit the product overview.
Garry Tan
Hey Product Hunt 👋,
I’m Kris, co-founder of Hudson Labs with @piesauce. After years in finance and AI research, we’re excited to introduce the Co-Analyst — our high-precision AI platform built for institutional investors, hedge funds, and asset managers
Why we built this
We built the Co-Analyst after seeing the limits of traditional terminals like Bloomberg and FactSet. They’re great for standardized data, but analyzing guidance trends, niche operating metrics, supply chain exposure, product-level results etc. still require painfully manual workflows.
Generalist AI tools haven’t solved this. They break down in the workflows that matter most to investors — multi-document and multi-period analysis, guidance extraction, and numeric accuracy — failing to meet the reliability standards of institutional-grade research.
So we built the Co-Analyst:
- 🎯 Terminal-grade precision + AI adaptability
- 🗂 Any metric, any source, any format — filings, transcripts, presentations, press releases
- 📈 Soft guidance captured — every hedge, every forward-looking statement
- 📝 Verbatim call summaries — no spin, no paraphrase
- ⚡ 2 hours instead of 2 weeks to get up to speed on a new name
All direct-from-source, with no hallucinations, no prompting gymnastics.
Feedback:
- Any big wins you’ve had using AI in investment research?
- Any frustrations?
- What do you want from an AI tool for investing?