Playbook

From a signal in the database to a product people pay for.

Finding a good idea is the start, not the finish. This is the exact path members take — search, plan, execute, and scale — and the discipline that makes each step pay off.

  1. 01

    Search

    One idea with real demand behind it — and the evidence to back it.

  2. 02

    Plan

    A shortlist, a co-founder or a solo plan, and a paste-ready build prompt.

  3. 03

    Execute

    A working v1 in front of real users, with the build state written down.

  4. 04

    Scale

    Your first distribution, a roadmap grounded in real use, and the next idea.

01

Search

Pick the idea you can reach customers for, not the one that sounds biggest.

You'll end with

One idea with real demand behind it — and the evidence to back it.

Browse the database
  1. 01.1

    Filter to what fits you

    Start from category, customer type, and build difficulty. Sort by opportunity score. The best idea for you is one you can build and one whose customers you can actually reach.

  2. 01.2

    Read the evidence, not the pitch

    Open the sources, the competitors, and their pricing. Repeated, specific complaints plus a business already charging for a version of it is real demand. A clever summary with nothing under it is not.

  3. 01.3

    Look for a wedge

    The strongest ideas name a specific underserved angle and an audience that already gathers somewhere. That is where a small team wins against a crowded market.

  4. 01.4

    Watch for red flags

    Vague pain, no sign anyone pays, a build that needs months before a first version, or a saturated space with no angle. When the evidence is thin, move on.

02

Plan

Commit to two or three, then decide who builds and how small the first cut is.

You'll end with

A shortlist, a co-founder or a solo plan, and a paste-ready build prompt.

Your saved ideas
  1. 02.1

    Save your shortlist

    Save the two or three ideas that fit your skills and reach. Your saved list is what you actually commit to, and it is what the MCP and co-founder matching work from.

  2. 02.2

    Co-founder or solo

    If you want a partner, Eureka matches you with members who saved the same idea. Someone who already believes in it beats someone you have to convince. If you build solo, plan for the parts you are weakest at.

  3. 02.3

    Scope the smallest test

    Read the MVP summary and build plan, then cut everything that is not the core loop. The goal of v1 is to prove the wedge, not to be complete.

  4. 02.4

    Turn it into a build prompt

    Use the idea to generate a paste-ready Claude Code build prompt. Now the plan is concrete before you write a line of code.

03

Execute

Ship the core loop first, put it in front of ten real users, then decide what is next.

You'll end with

A working v1 in front of real users, with the build state written down.

Connect the MCP
  1. 03.1

    Set up the Eureka MCP

    One command connects the database to Claude Code and Claude Desktop over HTTP. Now Claude can read any idea, your saved list, and your workspace directly from your editor.

  2. 03.2

    Open a workspace

    Each idea gets one shared command center: tasks, notes, decisions, GitHub activity, and build sessions in one place. It is where you and a co-founder stay aligned.

  3. 03.3

    Build with Claude Code

    Hand it the build prompt to scaffold, then work task by task. Claude Code logs each session into the workspace, so the state of the build is always visible.

  4. 03.4

    Track progress honestly

    Every session records what shipped, what is blocked, and what is next. When something stalls, it is written down, not lost in a chat history.

04

Scale

Let evidence, not opinion, decide what you build next.

You'll end with

Your first distribution, a roadmap grounded in real use, and the next idea.

Open a workspace
  1. 04.1

    Go where the users already are

    The sources named the communities and channels that surfaced the pain. Those are your first ten conversations and your first distribution.

  2. 04.2

    Keep decisions visible

    As the team grows, the workspace keeps decisions and blockers in one history. New teammates and Claude Code can read the full context instead of asking around.

  3. 04.3

    Pull adjacent ideas

    As you learn what your users actually need, search the database for adjacent openings. The same research that found the first idea feeds the roadmap.

  4. 04.4

    Hold the same bar

    The discipline that found a validated idea is the discipline that keeps it alive. Ship, measure, and let the evidence pick the next move.

Provenance

Where the ideas come from

Every idea starts from public, terms-aware sources, then gets validated against comparable businesses that already make money. You can open the evidence on any idea.

RedditApp StorePlay StoreHacker NewsProduct HuntIndie HackersG2TrustpilotUser Submission

Signals are mined at scale, filtered hard, then read one by one by a person before an idea is published. If the demand is not real, it never makes the database.

Data ethics

Handled with care

We treat public sources with the same three principles on every signal we store.

Official APIs first

We use official, rate-limited APIs and public pages. We do not scrape private or protected content, and we honor source terms.

Attributed and minimal

We store short, fair-use excerpts with a link back to the source. Author handles are hashed. No personal data is collected.

Deletion-aware

When upstream content is removed, our deletion-sync removes the excerpt and any identifying fields. We do not retain deleted content.

The idea is the easy part. Knowing it's worth building is the hard part.

The Eureka Database does the validation work most founders skip: evidence the problem is real, proof that people pay for it, and a clear plan to build. Two ideas are open to read in full, no account needed.