Nicheloom

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Stockfisher –– our automated Warren Buffett

Details

External ID
45916664
Source
HN
Company
—
Product
—
Website domain
—
Launched
Nov. 13, 2025
Cohort
—
Upvotes
16
Upvotes percentile
0.6299126637554585
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

Hey HN, I’m Dan. I’ve been working on forecasting for the last six years at Google, then Metaculus, and now at FutureSearch.For a long time, I thought prediction markets, “superforecasting”, and AI forecasting techniques had nothing to say about the stock market. Stock prices already reflect the collective wisdom of investors. The stock market is basically a prediction market already.Recently, though, AI forecasting has gotten competitive with human forecasters. And we’ve found a way of modeling long-term company outcomes that is amenable to our forecasting approach.Iteration by iteration, my skepticism has turned to light distrust, and then into actually getting value out of our company forecasts. Like most AI companies, we draw from improvements against our LLM-agent benchmarks, Deep Research Bench and Bench to the Future.But at the end of the day, to evaluate it, I think it’s best to follow Charlie Munger’s advice: try to disprove what Stockfisher says. Now, even after an hour of carefully reading through a stock, I generally can’t find any major flaws, and I hear the same from other serious investors.And, since it’s software, not human analysis, we applied it at scale. We have long-term forecasts for revenue, margins, and payout ratios for every company in the S&P 500.We do a Buffett-style intrinsic valuation, that doesn’t take the stock price into account. This means you can sort by the difference between what the stock market says, and what Stockfisher says. Some very interesting neglected companies rise to the top, and we’re starting to process the mid-caps and small-caps too.Stockfisher is live at https://platform.stockfisher.app, no sign in required, to see what we have on the top stocks. (I was happy to see Alphabet comes out well. Meta looks good too, but Amazon and Apple do not.) I would love for you to judge for yourself if the quality of analysis is up to your standards.

Enrichment

Theme
algorithmic trading bots and platforms
Vertical
Fintech
Function
Agent / copilot
Audience
B2C
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
automated investment agent
Manually corrected
False

Could you build this?

Partial The web interface and forecasting agent prompts can be built with AI assistance, but creating an automated trading/forecasting engine with actual edge requires deep quantitative research and rigorous backtesting pipelines.

What it would actually take: The system needs historical financial datasets, automated fundamental data parsing, market sentiment inputs, and automated quantitative scoring models. The hard part is calibration—preventing overfitting, evaluating probabilistic forecasts against market pricing, and handling market regime shifts. This requires quantitative research and statistical forecasting expertise rather than standard CRUD tooling.

Discussion

4 comments analyzed.

Concerns raised: LLM hallucinations and incomplete information affecting forecast reliability, Difficulty backtesting LLM-based models due to memorized knowledge and internet research, Predicting unprecedented business pivots without historical precedent

Competitors

Other products that read as similar to this one — 346 launches clear the similarity bar, closest 8 shown.

Attention rank: #129 of 347 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 15 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.