PMF Hunter

PMF Hunter

Turn SaaS data into a PMF score and 90‑day GTM plan

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PMF Hunter helps indie and early‑stage SaaS founders turn their billing, usage and PMF survey data into decisions. Upload your data and get a clear PMF score, a written diagnosis, a GTM Compass, and a GTM Playbook with campaigns and copy blocks. No complex dashboards, just a snapshot and a 90‑day plan you can actually run.
PMF Hunter gallery image
PMF Hunter gallery image
PMF Hunter gallery image
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Launch tags:SaaS
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Flowstep
Flowstep
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What do you think? …

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Maker
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Hey Product Hunt! I built PMF Hunter because every time I tried to answer “do we have product‑market fit?” I ended up with messy spreadsheets, one‑off surveys and way too many dashboards. It still never told me what to actually do next. The problem I wanted to solve is simple: Founders already sit on billing, usage, and PMF survey data, but turning that into a clear verdict and concrete GTM moves is hard and time‑consuming. My approach was to start from that existing data and work backwards from the output I wish I had as a founder: one PMF score, a short diagnosis, and a 90‑day GTM plan with specific campaigns and copy ideas. As I iterated, I added a free GTM Plan Canvas for planning and an AI GTM Playbook that turns the PMF report into ready‑to‑use assets. I would love your feedback on what feels useful, what is confusing, and what you would expect from a “PMF + GTM snapshot” for your own SaaS.
Sujal Thaker

This is a solid take on the PMF problem.

What I like most is the focus on turning messy signals into a clear decision and an actual 90-day plan. A lot of PMF tools stop at scores or charts, but founders usually get stuck on what to do next. The snapshot plus GTM direction feels practical, especially for early-stage teams that do not want another dashboard to babysit.

The positioning around “no complex dashboards” is strong. That alone will resonate with founders who already have enough tools.

Curious how you think about accuracy early on, especially for products with low-volume data. Do you optimize more for directional clarity or statistical confidence at that stage?

Nice work and congrats on the launch.