Eulerpool
Institutional-grade stock research and financial data, without Bloomberg’s complexity or price.
Tagline
Bloomberg-grade research, without Bloomberg
The research terminal for investors who want speed
One API for stocks, crypto, FX, and macro
Find undervalued stocks with real fundamentals
The Bloomberg-style research terminal for investors who want the data, not the bureaucracy.
The page repeatedly contrasts itself with Bloomberg - "Bloomberg-grade research at a fraction of the price" and "Compare with Bloomberg" - so the strongest category claim is a cheaper, cleaner substitute rather than a generic finance tool.
One financial data API for every asset class, built for startups that can’t afford enterprise data contracts.
The API section is explicit about stocks, ETFs, funds, bonds, crypto, FX, commodities, and macro in one REST interface, with no seat licenses or sales calls. That makes the alternative-to-Refinitiv/Bloomberg/DataLink angle highly credible for builders.
Find undervalued stocks faster with a fair value engine built on years of fundamentals and segment-level detail.
The product’s most tangible user value is not generic charting; it is the fair value framework plus long history and segment analysis. That supports a pain-killer angle for fundamental investors who care about valuation, not just data access.
Primary user
Public markets analyst or portfolio manager at an asset manager who needs fast fundamental research without using Bloomberg for everything
ICP #1
Buy-side equity analyst at a mid-sized asset manager
Pain
They need to move from headline numbers to a defensible valuation view quickly, but Bloomberg workflows are expensive, clunky, and overkill for routine screening.
Why this solves
Eulerpool gives them long-dated fundamentals, fair value estimates, segment breakdowns, and real-time prices in one browser-based workflow, so they can triage names faster and validate ideas without jumping between terminals, spreadsheets, and filings.
ICP #2
Fintech product engineer at a startup building an investing app
Pain
They need broad market coverage and reliable fundamentals data, but most providers are priced for enterprises and have painful licensing friction.
Why this solves
Eulerpool’s API promises one key for multiple asset classes, cached low-latency endpoints, and startup-friendly pricing, which directly addresses the need for fast integration and predictable cost.
ICP #3
Sophisticated self-directed investor or paid newsletter author
Pain
They want to find undervalued stocks and compare businesses across sectors, but most free tools stop at shallow charts and incomplete fundamentals.
Why this solves
Eulerpool’s fair value models, multi-decade history, segment analysis, and screener give them enough depth to make and publish a stronger thesis without paying for a full institutional stack.
Strengths
- +Very clear dual-product positioning: terminal for investors, API for builders.
- +Concrete proof points are everywhere: 100M+ data points, 50 years of history, 1M+ securities, 250+ data sources.
- +The fair value explanation is unusually detailed and educative, which helps users understand the product’s logic.
Weaknesses
- −The page is overloaded with repeated sections, duplicate logo rows, and redundant testimonials, which makes it feel less premium than the product claims.
- −The credibility gap is risky: the testimonial names and logos read like stock marketing placeholders unless backed by verifiable case studies.
- −The copy leans too hard on prestige language and not enough on sharp use cases like screening, idea generation, or API integration examples.
- −The Microsoft example content is messy and overly technical in places, with long segment lists that feel like raw data dump rather than a compelling demo.
- −There is no crisp explanation of what makes Eulerpool materially better than Koyfin, FactSet, or BamSEC for specific workflows.
Fix these
- Create two separate landing paths immediately: one for investors/research users and one for developers/API buyers.
- Replace generic testimonials with named, verifiable use-case stories showing before/after workflows and measurable time savings.
- Add a competitor comparison table against Bloomberg Terminal, FactSet, Koyfin, and BamSEC with specific feature and price differences.
- Turn the Microsoft example into a guided interactive case study: fair value, segments, historical margins, and export in a single narrative.
- Cut duplicate logos and repeated testimonial blocks; the current page feels bloated and reduces trust in a product that should feel precise and data-driven.
Drop-in replacement copy
Headline
Research stocks without Bloomberg bloat
Screen faster, value better, and ship with clean market data.
Get from screening to conviction faster
Search 50,000+ stocks with a free screener built for real research workflows. Move from broad discovery to a defensible thesis without bouncing between five tools.
See valuation with actual context
Compare fair value using earnings-based, revenue-based, and dividend-based methods. Then inspect the business behind the chart with long-dated fundamentals and segment breakdowns.
Use one API across every market you care about
Pull clean JSON via REST for equities, ETFs, funds, bonds, crypto, FX, commodities, and macro data. Built for teams that need broad coverage without enterprise friction.
Replace fragmented finance workflows
Eulerpool is made for two jobs: investors researching names and builders shipping products. One interface for analysis, one API for integration, no terminal theater.
FAQ
Is Eulerpool a Bloomberg replacement?
For many everyday research workflows, yes. It is built for screening, fundamentals, valuation, and data access without the complexity or cost of a full terminal stack.
Who is this for?
Buy-side analysts, portfolio managers, independent investors, and fintech engineers building products with market data. If you need cleaner research or easier integration, it fits.
What assets do you cover in the API?
Stocks, ETFs, funds, bonds, crypto, FX, commodities, and macro data. The goal is broad coverage through one REST interface.
How is the terminal different from free screeners?
Free screeners usually stop at shallow metrics. Eulerpool adds long historical fundamentals, fair value views, segment analysis, and real-time quotes so you can actually underwrite a thesis.
Can I use this without code?
Yes. The browser terminal is designed for non-technical investors and analysts. The API is for teams that want to build on top of the data.
Bloomberg is overpriced for most teams. I built Eulerpool for investors and builders who need real market data, long fundamentals, fair value views, and a clean API - without the terminal bloat. If you research stocks or ship fintech, this is for you.
Most finance tools stop at charts. Eulerpool goes deeper: 50 years of fundamentals, fair value models, segment analysis, real-time quotes, and a REST API across stocks, ETFs, funds, bonds, crypto, FX, commodities, and macro. Built for actual workflows.
I kept seeing the same workflow: screen stock -> open filings -> export to sheet -> calculate valuation -> check price -> repeat Eulerpool turns that into one place. Research terminal for analysts. API for builders. Less tab chaos, more decisions.
We shipped 50 years of fundamentals because 5-year charts are not enough for serious research. If you're comparing margins, dividends, or valuation cycles, short history lies to you. Eulerpool is built for people who actually want to know what changed.
Research should not take 12 tabs. If you need Bloomberg for basic screening, a spreadsheet for valuation, and a separate source for historical data, your workflow is broken. Eulerpool collapses the mess into one terminal.
Your data provider should not fight you. No seat licenses. No sales calls. No stitching together half-broken feeds. One API. Clean JSON. Broad coverage. Built for startup teams that need to ship.
Watch one stock turn into a thesis. Open a name, check fair value, inspect 50 years of fundamentals, compare revenue segments, review dividend history, and export the view. That is the whole point: faster conviction, fewer blind spots.
This is what clean market data looks like: REST endpoints JSON responses stocks, ETFs, funds, bonds, crypto, FX, commodities, macro No weird formatting. No UI around the API. Just data you can build with.
Analysts do not need more noise. They need faster screening, cleaner fundamentals, and a valuation view they can defend. That is why Eulerpool is a strong fit for buy-side research teams, family offices, and serious retail investors.
If you compared us to Bloomberg, FactSet, Koyfin, or BamSEC, you'd probably want one thing: less friction. That is the bet behind Eulerpool: premium research tools, sane pricing, and an API that does not require enterprise theater.
Angle: why the product exists for analysts
Most equity research workflows are still a mess. You screen in one place. You read filings somewhere else. You build valuation in a spreadsheet. You check price in a different terminal. That fragmentation costs time and creates bad decisions. Eulerpool exists because I kept seeing the same problem: smart investors spending hours stitching together basic fundamentals before they could even form a view. So we built a browser-based research terminal with: - 50,000+ stocks in a free screener - 50 years of historical fundamentals - fair value estimates based on earnings, revenue, and dividends - segment analysis for actual business quality - real-time quotes and market data The goal is simple: get from screening to conviction faster. Not more charts. Not more noise. Just cleaner research. If you're a buy-side analyst, portfolio manager, or independent investor, I'd love feedback on the workflow that wastes the most time for you.
Angle: why the API matters for builders
If you're building a fintech product, market data is one of those things that always looks easy until you buy it. Then you deal with: - enterprise pricing - licensing friction - limited coverage - weird endpoint design - inconsistent data formats Eulerpool’s API is built around the opposite idea. One key. One REST interface. Clean JSON. Coverage across stocks, ETFs, funds, bonds, crypto, FX, commodities, and macro. That matters if you are shipping an investing app, a brokerage experience, a research tool, or internal analytics. You should not have to assemble a data stack like a puzzle just to get reliable fundamentals and pricing into your product. The hypothesis here is simple: smaller teams want broad coverage and predictable cost more than they want enterprise theater. If you are building with market data, I’d be curious what broke for you last time you tried a provider.
Angle: anti-Bloomberg positioning with practical value
Bloomberg is incredible. It is also overkill for a lot of people. Most investors do not need 90% of what they pay for. They need fast screening, long-term fundamentals, fair value context, and a way to compare businesses without jumping across five tools. That is the gap Eulerpool is built for. We are not trying to imitate the whole Bloomberg universe. We are trying to give serious investors and builders the part they actually use: - research terminal workflow - valuation context - clean market data - API access without a maze of procurement The product has two clear paths: 1. Investor / analyst terminal 2. Developer / API workflow That split matters because the buyer, the job, and the interface are different. If you’ve ever paid for a giant tool and used a tiny slice of it, you already know the problem. I’d rather build the focused version well than the bloated version badly.
No visuals for this kit yet.
Tagline
Research stocks faster. Build with clean market data.
Description
Eulerpool is a stock research terminal and financial data API with 50 years of fundamentals, fair value models, real-time quotes, and broad market coverage across equities, crypto, FX, commodities, and macro.
Maker's first comment
I built Eulerpool because I kept watching serious investors and builders waste time on the same broken workflow: one tool for screening, another for fundamentals, another for valuation, and another for data access. That is fine if you have a giant research stack and a giant budget, but most teams do not. The core idea behind Eulerpool is simple: give investors a clean browser-based terminal for real research, and give builders a clean API for real products. For the terminal side, that means 50,000+ stocks, long-dated fundamentals, fair value views, segment analysis, and quotes in one place. For the API side, it means broad asset-class coverage with JSON that is actually easy to use. I care a lot about making the product feel precise, fast, and useful rather than bloated. If you try it, I’d love feedback on two things: whether the research workflow feels meaningfully faster, and whether the API docs and endpoints make integration obvious on the first pass.
Pinned maker comment
Would love feedback on the split between the investor terminal and the API. If you were buying this, which path would you click first, and what would you expect to see before trusting it?
Meta
Still using Bloomberg for basic screening?
Hypothesis: buy-side analysts and portfolio managers want faster screening and fair value context without Bloomberg's full terminal overhead. Eulerpool gives you 50 years of fundamentals, fair value models, segment analysis, and real-time quotes in one browser-based workflow.
Google Search
Financial data API for startups
Hypothesis: fintech engineers want broad market coverage and clean JSON more than enterprise sales processes. Eulerpool provides one REST API for stocks, ETFs, funds, bonds, crypto, FX, commodities, and macro data - built to integrate fast and stay predictable.
Reddit Promoted
Bloomberg is massive. Most teams need less.
Hypothesis: independent investors and small research teams want a cheaper way to screen stocks, inspect fundamentals, and compare fair value without paying for a full institutional stack. Eulerpool is a research terminal plus API built around that exact workflow.
Subreddits
r/indiehackers
How we built a dual-product finance tool: terminal for investors, API for builders
Rules: Share process and lessons, not a pure promo dump; include what you learned and invite critique.
r/SecurityAnalysis
What makes a valuation workflow actually faster for fundamental investors
Rules: Must be genuinely useful to investors; avoid low-effort self-promo and stay focused on analysis.
r/algotrading
Clean market data API and coverage tradeoffs for research and trading workflows
Rules: Be specific about data formats, latency, and usage; no vague marketing claims.
r/fintech
Market data infrastructure lessons for fintech teams building investing products
Rules: Frame as a builder lesson or product insight; do not post as an ad.
r/investing
Long-history fundamentals and fair value tools for screening undervalued names
Rules: Needs to be educational and not spammy; lead with the problem and what users can learn.
Communities
Post a build log on how you split the product into investor and API paths, then reply to every comment with concrete numbers and tradeoffs.
Share the most visual demo you have: a single stock research flow from screener to fair value to export.
Fintech Slack community
Join with a founder account, ask for advice on data licensing pain, and offer free access to 2-3 teams in exchange for brutally honest integration feedback.
SaaS Pioneers Discord
Share short clips of the API docs and terminal workflow, then ask members which buyer persona would convert fastest.
Cold outreach template
Hey {firstName} - saw {context} and thought of Eulerpool. We built a research terminal + market data API for people who want Bloomberg-style data without the Bloomberg workflow. If you are open to it, I’d love to give you access and hear where the workflow breaks for your team. If it’s useful, I can also show the exact screen/API path for your use case.
Product Hunt timing
Launch on Tuesday at 8:00 AM UTC. That catches Europe early and gives you overlap with the US morning while avoiding the weekend slowdown; it also fits both ICPs because analysts and builders are active on weekdays and can actually try the product during work hours.
Indie Hackers post ideas
- 01How we turned a finance terminal into two products: investor workflow and API
- 02What we learned building 50 years of fundamentals into a stock research app
- 03Why most market data products fail at developer UX
Competitor alternatives
Current tone of voice
Confident, premium, and slightly provocative, with a strong anti-Bloomberg stance. Example: "See what others can't." and "Bloomberg-grade research at a fraction of the price."
Your kit is ready. Sign up free to unlock, takes 10 seconds.
7 more X posts · 2 LinkedIn · Product Hunt copy · ad hooks · 100-user playbook · landing critique