How to Check Competitor Density Before You Build

Published October 6, 2026 · AlqEdge Skills

Check competitor density before you write a line of code: if a niche already has five funded players with the same price point and feature set, you're walking into a red ocean, and your build is the expensive part of the mistake. The fix is a 30-minute, 8-field scan that tells you red, yellow, or green before you commit. This is the method we run on every idea we touch, and it's the core of the Opportunity Validation PRO skill.

Most indie hackers skip this step because it feels like procrastination. It isn't. Density is the single best predictor of whether a solo build pays off, because it tells you who you're competing with for the same buyer's attention and wallet. Here's the exact process, and it takes about 30 minutes.

What competitor density actually means

Density isn't "how many apps exist in this category." It's how many of them are real: actively marketed, taking payments, ranking for the keywords your buyer types, and holding a price point. A category can have 50 dead repos and still be a green field. A category can have 3 polished products and be a bloodbath, because all 3 already own the search results and the review sites.

So the first move is to separate noise from signal. Don't count repos. Count products that someone is paying for.

The 8 fields to evaluate before you build

We run every idea through 8 fields. You don't need all 8 perfect; you need to know where the risk sits. Write these down for your idea:

Direction — the specific long-tail direction, not the category. "AI note-taking" is a category. "AI notes that auto-link to your calendar tasks" is a direction.
Background — the problem statement and who has it. Be concrete: "solo founders with 3 clients who lose track of scope creep."
Use case — the exact trigger moment someone reaches for this. Vague use case = no one reaches for it.
Payment evidence — can you find 3+ real buyers paying for something close? Reviews, public revenue, "X is worth it" threads count. No payment evidence is a yellow flag.
Competitor analysis — for each real competitor: price, feature set, marketing channel, and a density grade (🔴/🟡/🟢).
SaaS-ification path — can this become recurring revenue, or is it a one-off service? A path that can't recur is harder to build as a product.
Agent feasibility — can an AI agent do the core work? If a competitor already sells a SKILL.md that does your whole job for $19, that's density you can't ignore.
Evidence — the receipts: links, screenshots, search-result snapshots, pricing pages. This field is what stops you from convincing yourself.

Our density baseline (measured Sept 2026)

We ran this exact scan on 7 long-tail directions for independent developers and recorded the results. This is real output, not a hypothetical:

Red oceans we did not pursue: AI resume builders (5+ funded, commodity pricing), generic "AI writing assistants" (price war, no moat), and no-code website builders (you'd be fighting the category itself).
Yellow: "opportunity validation for solo founders" — a few adjacent tools, but no one owning the exact framing of check density before you build. Head players priced at $19–49, mostly one-off, mostly shallow on method.
Green gaps we acted on: a sellable methodology as a skill (not another SaaS), and a go-to-market playbook for turning that methodology into a product. Both became the two products we actually sell.

The pattern: the green wasn't "nobody does this." It was "people do adjacent things poorly, and nobody does the exact method end-to-end." That's the gap to look for.

How to grade density: red, yellow, green

Don't overthink the scoring. Three buckets:

Red — 5+ real products, commodity pricing, established review sites ranking them. Unless you have a 10x differentiator and real distribution, skip it.
Yellow — 1–4 real products, some payment evidence, but the exact framing or a sub-niche is open. This is where most good indie builds live.
Green — very few or zero real, paid competitors, and a concrete use case with payment evidence nearby. Green is rarer than people think, because "nobody does this" usually means "nobody wants this." Verify the payment evidence before you get excited.

The one rule that saves the most time: green without payment evidence is not green. It's a hypothesis with no demand signal. Treat it as yellow until you see money move somewhere adjacent.

The 30-minute density scan, step by step

Search like a buyer (10 min) — type the 3–5 phrases your buyer would search. Note who owns the top 5 results and whether they take payment.
Check the marketplaces (5 min) — search the same idea on skill/agent marketplaces and SaaS directories. A cheap SKILL.md that does your whole job is density you can't ignore.
Price the head players (5 min) — pull pricing from the top 3 real competitors. If all three cluster within 20% of each other, the price is set and you compete on everything else.
Look for payment evidence (5 min) — find reviews, "I paid for X" threads, public revenue numbers. Real money moving is the strongest signal.
Grade it (5 min) — drop the results into the 8 fields, grade the niche red/yellow/green, and write the evidence down.

What to do with your grade

Red — don't build the same thing. Re-scope to a sub-niche or a different framing, then re-run the scan. Re-scoping is free; building is not.
Yellow — build, but narrow the wedge. Pick the one exact framing no one owns and go deep on it.
Green with payment evidence — this is your signal. Move.

If you want the whole method automated (the search patterns, the grading, and the 8-field output template), that's exactly what Opportunity Validation PRO packages. The free Lite version on GitHub gets you the framework to start today.

Stop building into red oceans

Run the density check before your next idea. Free Lite version on GitHub, or the full PRO method with real density data for $19 one-time.

Try Free on GitHub Buy PRO — $19

This article is a research method, not investment or financial advice. No buy/sell/hold recommendations, no return promises. Competitor density data reflects our own Sept 2026 scan and may change.