I built a tool directory that doesn't pretend every founder has the same needs

Love this idea. Stage-fit is massively underrated. I've seen founders adopt enterprise-grade tools too early and end up paying for complexity they don't need. Organizing software around company maturity rather than popularity feels much closer to how founders actually make decisions. Curious to see how accurate the SSIE engine becomes over time, especially as founder feedback compounds. Great work, Ayush.

The stage-based filtering is the part that stands out to me. A lot of directions assume the best tool for a 50-person team is also the best tool for a solo founder, which usually isn't true. Have you noticed any categories where the recommendations change the most between solo founders and Series A companies?

This is a smart approach because the "best" tool for an enterprise team is usually just expensive bloat for a solo founder. Focusing on stage-fit solves a massive pain point that those bigger directories ignore, and I’m definitely going to check it out for my own stack.

Interesting approach. I think you're solving a problem that many founders feel but rarely articulate.

Most directories optimize for popularity, reviews, or market share, but the "best" tool is often the wrong tool if it's built for a completely different stage of company growth. A solo founder and a Series A team can have very different requirements even when evaluating the same category.

What stood out to me is the stage-fit concept. As someone working in GTM and lead generation, I've seen teams adopt tools that looked great on paper but created unnecessary complexity because they weren't aligned with the company's current stage.

Curious to see how the founder feedback data evolves over time. It could become a valuable signal for helping companies understand where they actually fit in the market versus where they think they fit.

Congrats on the launch and traction so far.

Nice work! this is exactly the kind of product that would have saved me so much time early on.

I love that you treated stage as the primary filter instead of pretending one size fits all. The six dimensions feel thoughtful and practical, and weighting them by stage is a clear winner. Manual scoring plus founder feedback sounds like a great way to keep quality high while the AI learns.

Two quick suggestions:

• Make the stage-weighting explanation super visible on product pages so founders immediately trust the recommendation.

• Add a tiny “how founders like you actually use it” section with 2–3 real examples per stage to turn the abstract fit into concrete workflows.

Excited to see the dashboard analytics, that will be gold for both founders and founders of tools. I checked my stage and already found a few options I hadn’t considered. Keep it up.

The stage-fit filter is the right call. I have answered 'what CRM should I use' for founders for years, and the answer flips completely between solo and Series A, your Pipedrive example is dead on. My real worry is upkeep: tools change pricing and positioning constantly, so the manual scoring is both your product and the thing that rots fastest, how are you keeping scores current without it eating all your time?

I like the positioning here. Most directories feel like giant lists where a bootstrapped founder, agency owner, and enterprise team all get the exact same recommendations.

The "different founders have different constraints" angle feels much more useful.

I built a tool directory that doesn't pretend every founder has the same needs. The best tool depends on your stage, budget, and goals—not just what's trending.

Smart angle, i can totally relate to your post.

i just submitted my product . its called OnboardHive waitlist is open for agencies

I agree

The stage-fit framing really lands. We see the exact same thing in hosting — a solo dev and a 50-person team both ask "what should I use?" and the honest answer is completely different, yet most comparison pages hand them the same "best" pick that's really built for the mid-market. Curious how you handle products that genuinely fit two stages for different reasons — do you let one rank in multiple stage buckets, or force a single primary fit?

This resonates. I'm building a niche security tool right now and the hardest part isn't the tech — it's figuring out who actually needs it at what stage. A store owner who just got served a $25k demand letter has completely different needs than one proactively checking compliance.

Your stage-based filtering makes sense because the "best tool" is meaningless without context. Curious — how do you handle products that genuinely serve multiple stages but with different use cases at each?

The stage-fit filter is the right instinct. Most directories optimize for popularity, not fit. A solo founder and a Series A team have completely different definitions of best tool. The 6 dimensions make sense, especially complexity — that's the one that kills early-stage adoption more than anything else.

the stage-based angle actually solves a real annoyance. half the "best CRM" lists are useless to me because they're ranking for a 50 person sales team and i'm one guy. quick q, who scores the 6 dimensions? if it's you by hand that's a ton of work to keep current, and if it's pulled from somewhere i'd wonder how you catch a tool that's great at seed but kinda bloated by series A. asking because complexity is the score i'd trust most, idk.

Stage-fit is a really useful lens. I’d make the weighting model very visible on each product page, because that’s what turns this from another directory into something founders can actually trust.

Nicely done.

What I'd be careful with is that a reply can sometimes feel like validation while leaving the original question unresolved.

That's usually where things start getting interesting.

Because the visible outcome changes before it's clear what actually changed.

Love this approach! Treating company stage as the primary filter is such a game-changer compared to traditional directories. Finding a tool that matches your current complexity and budget limits saves so much trial-and-error time.

Interesting insight. Stage-fit seems more important than feature lists for early-stage teams.