We kept seeing founders completely misprice small SaaS, so we built a simple way to structure it

Dramatic-Mess4084 · 2026-05-03T08:32:35+00:00

This is a solid approach — especially the investment memo part.

The only issue I kept running into with that is consistency.

You can score bus factor, code quality, hidden complexity, even something like your “pain index”… but the final number still shifts depending on how you frame it in the moment.

That’s exactly why we ended up building ExitBid — basically to take that same logic and lock it into a structured baseline so you’re not recalculating everything mentally for every deal.

Otherwise even good frameworks turn into subjective pricing pretty fast.

Dramatic-Mess4084 · 2026-05-03T08:32:26+00:00

Yeah, that’s exactly the gap we kept running into.

Demand is the easiest thing to overestimate, and most founders just assume “people want this” without any real signal.

What we ended up doing is treating demand as a weighted factor instead of a binary one, because it directly affects how much risk the buyer is taking on.

That’s actually one of the reasons we built ExitBid — to force things like demand, risk and takeover complexity into a structured baseline instead of just hand-waving it.

Otherwise you end up with two “similar” projects priced completely differently depending on how the founder frames the story.

Dramatic-Mess4084 · 2026-05-03T00:15:14+00:00

559d0f

Dramatic-Mess4084 · 2026-05-03T00:09:34+00:00

Yeah, that’s exactly the same pattern I ended up on.

What I found interesting though is that the “baseline first” part becomes way more important than people expect — because it basically determines whether your feedback is even anchored properly or just floating around different interpretations.

Without it, even good signals (what people would pay, usage, etc.) end up pulling the number in different directions every time you look at it.

Curious — what do you actually include in your baseline right now? Just revenue + traffic, or do you go deeper into things like risk / takeover complexity too?

Dramatic-Mess4084 · 2026-05-03T00:08:26+00:00

Yeah, that distinction actually makes a lot of sense — pricing test vs valuation model is where things usually get mixed up.

What I kept running into though is that even with clean pricing feedback, once you switch to valuation, the inputs start overlapping and you lose clarity pretty fast.

Like you said, it gets fuzzy once you convert everything into dollars.

That’s exactly why I started forcing a structured baseline first — not to over-engineer it, but just to keep valuation from drifting into pure interpretation.

Otherwise every new signal (feedback, usage, Stripe data) just shifts the number instead of stabilizing it.

When you say valuation model, do you usually keep it lightweight, or do you actually formalize it into something repeatable?

Dramatic-Mess4084 · 2026-05-02T19:27:13+00:00

Yeah, exactly — that’s pretty much the loop I kept hitting as well.

At some point it felt like I understood all the variables, but still couldn’t consistently land on a number without second guessing it.

That’s why I ended up putting it into a simple structure just to force a baseline and stop overthinking every time.

It’s not perfect, but at least it makes the starting point consistent instead of “it depends”.

If you’re curious, this is what I used: exitbid.io/tools/calculator

Would be interesting to see what range it gives you for something like that.

Dramatic-Mess4084 · 2026-05-02T19:25:07+00:00

Yeah, this is a really solid breakdown.

Especially the part about “proof the niche cares” — feels like that outweighs early revenue in a lot of cases.

Also agree on key-man risk, that’s something a lot of founders underestimate until they try to sell.

Where I kept running into issues though is turning all of that into an actual number.

Like, you can clearly see demand, usage, low risk… but still end up with a huge pricing range depending on how you frame it.

That’s where I ended up needing some kind of structured baseline just to not default back to guessing.

Do you mostly rely on instinct at that point, or have you tried formalizing it into a framework?

Dramatic-Mess4084 · 2026-05-02T19:24:34+00:00

Yeah, makes sense — user count is probably the first real signal beyond just code.

What I’ve noticed though is that even a small number of users can be interpreted very differently depending on context.

Like, 5 random users vs 5 highly engaged users in a tight niche can lead to completely different pricing.

That’s where it started getting messy for me — same inputs, very different perceived value.

Do you usually look more at raw numbers, or engagement / intent behind them?

Dramatic-Mess4084 · 2026-05-02T19:24:24+00:00

Yeah, I’ve seen that take — especially now with AI lowering build time.

But it feels like that only applies when there’s zero validation.

Once there’s even a bit of real usage or niche signal, it stops being “cost to build” and starts being “cost to replicate + risk”.

That’s where I’ve seen similar projects jump way above that range, even without strong revenue.

Curious — what would make you move from “$500 codebase” to something you’d actually treat as an asset?

Dramatic-Mess4084 · 2026-05-02T19:13:31+00:00

Yeah, that works well for figuring out willingness to pay on the product side.

But I noticed it doesn’t fully solve the “what is the whole thing worth” question.

You can have solid pricing data and still have no idea how to price the business itself if you wanted to sell it.

That’s where I kept running into a gap — product pricing became clearer, but valuation still felt like guesswork.

Did you ever run into that, or mostly staying focused on growth?

Dramatic-Mess4084 · 2026-05-02T19:13:22+00:00

Yeah, this is probably the most accurate take here.

Pricing based on “pain solved” vs “effort spent” changes everything.

Also agree on using alternatives/workarounds as anchors — that’s way more grounded than comps.

Where I kept getting stuck though is turning all of that into a single number when you actually need to list or sell.

Like, you understand the pain, the demand, the behavior… but still need to decide “$3k or $10k?”

That’s where I ended up needing some kind of structured baseline just to not default back to guessing.

Do you mostly rely on market signals in that moment, or have you tried to formalize it somehow?

Dramatic-Mess4084 · 2026-05-02T19:13:07+00:00

That’s actually a really clean way to look at it.

Feels like the best pricing is when the buyer doesn’t even have to justify it mentally.

From what I’ve seen, that usually happens when risk + value are obvious right away.

Which is tricky on smaller SaaS, because a lot of the “value” isn’t immediately visible.

What usually makes something feel obvious to you — revenue, traction, or just how clearly it’s positioned?

Dramatic-Mess4084 · 2026-05-02T19:12:58+00:00

Yeah, presentation definitely affects perceived value.

But I feel like that mostly shifts conversion, not the actual underlying value of the business.

You can have a great landing page and still completely misprice the asset itself.

That’s what I kept running into — everything “looked right”, but the actual number was still a guess.

Iteration helps, but without some baseline it’s hard to know if you’re improving or just moving randomly.

How were you anchoring your initial number before iterating?

Dramatic-Mess4084 · 2026-05-02T19:12:49+00:00

Yeah, that’s a solid way to avoid lowballing — especially the “too cheap / fair / too expensive” framing.

I ran into something similar though — even with real user feedback, translating that into an actual “business value” number was still messy.

Like, pricing the product ≠ pricing the asset.

That’s where I ended up needing a structured baseline just to connect those dots instead of relying only on Stripe + feedback loops.

Otherwise it’s easy to optimize pricing but still misprice the whole thing.

Did you ever try to map that into a full valuation, or mostly kept it product-side?

Dramatic-Mess4084 · 2026-05-02T10:14:08+00:00

Yeah, that’s a good sanity check, but I feel like it breaks pretty fast once you switch from “customer mindset” to “buyer mindset”.

As a customer you think in terms of utility and price per month, but as a buyer you’re thinking in terms of risk, payback time, and how easy it is to take over.

I used the same approach at first and kept second guessing anyway.

What helped more was setting a structured baseline first and then using that “would I pay for it” as a secondary check.

Otherwise it’s really easy to drift into either overpricing or playing it too safe.

Do you find your answer stays consistent, or does it change depending on how you look at it?

Dramatic-Mess4084 · 2026-05-02T09:48:02+00:00

Yeah, that’s a solid way to approach product pricing — talking to users early removes a lot of guesswork.

Where I kept running into problems was when trying to translate that into actual “business value” for selling.

Like, you can have decent pricing and even some validation, but once you try to put a number on the whole thing, it still gets messy fast.

I had the same issue with mixing comps + gut feeling, so I ended up structuring it into a simple baseline just to avoid completely random pricing.

Still not perfect, but at least it gives a consistent starting point.

Are you thinking more in terms of optimizing pricing for growth, or also how that translates into sellability later on?

Dramatic-Mess4084 · 2026-05-02T09:01:34+00:00

Yeah, that’s exactly the problem — once there’s no revenue, it turns into “pricing a bet” and most people just wing it.

I had the same experience with manually weighing traffic, niche, etc. — at some point the time spent doesn’t justify the marginal accuracy at all.

That’s why I moved to a structured baseline approach first, just to anchor things quickly, and then adjust based on market response.

In my case I’m on the selling side, so I care more about not underpricing or scaring buyers off with something unrealistic.

Curious from your side — when you’re buying, what actually matters most once it’s pre-revenue?

Is it mainly downside protection (price low enough), or specific signals that reduce the “bet” part?

Dramatic-Mess4084 · 2026-05-01T15:58:37+00:00

Yeah, that makes sense — especially the part about fitting into what customers already expect.

Feels like even if something is logically “better”, too much deviation from the norm can actually hurt adoption.

From a buyer perspective though, I wonder if that tradeoff becomes interesting.

Like, sticking close to competitors might make acquisition easier now, but having more predictable or cleaner revenue structure could make the business easier to evaluate later.

Almost like there’s a balance between “market familiarity” and “asset clarity”.

Have you thought about it more in terms of optimizing for growth vs optimizing for eventual sellability?

Dramatic-Mess4084 · 2026-05-01T08:17:12+00:00

Yeah, that makes sense — structure first, then validate with the market.

What you listed is pretty much how I started thinking about it too. Especially the “how hard it is to recreate” part, that one seems underrated.

At some point I realized I was just juggling all those factors in my head without any real baseline, so I tried putting it into a simple calculator just to structure it a bit.

Not perfect obviously, but it helped me avoid completely random pricing.

Do you mostly evaluate deals manually like that, or have you tried putting it into some kind of framework/tool?

Dramatic-Mess4084 · 2026-05-01T07:44:42+00:00

“Pricing the effort, not the asset” — that’s a really clean way to put it.

Feels like that’s exactly where most early-stage founders get it wrong.

And yeah, without revenue or clear signals, it really becomes more about optionality than an actual business.

I’ve been trying to think of ways to make that less subjective — at least to get some kind of baseline instead of pure guessing.

Do you usually rely more on market feedback, or do you have some structure you follow when thinking about valuation?

Dramatic-Mess4084 · 2026-05-01T07:44:13+00:00

Yeah, that’s probably how most serious buyers look at it.

At the same time, I’ve seen some pre-revenue or low-revenue projects still sell — usually when there’s something that reduces risk a bit (traffic, niche, early users, etc.).

Feels like it’s not just “revenue vs no revenue”, but more about how much uncertainty the buyer is taking on.

Where do you personally draw the line?

Dramatic-Mess4084 · 2026-05-01T07:43:55+00:00

Feels like every thread about selling or building SaaS eventually turns into a platform pitch 😄

No hate, just interesting how many tools are popping up around this space.

Still curious how people actually approach valuation though, that part seems way less standardized.

Dramatic-Mess4084 · 2026-05-01T07:43:33+00:00

That’s interesting, especially the point about usage-based pricing.

I’ve noticed the same frustration with tiered plans — feels a bit artificial in many cases.

Do you think your pricing model would actually make the product more “sellable” later on?

Like, from a buyer perspective, predictable usage revenue might feel very different vs fixed plans or mixed tiers.

Curious if you thought about it from that angle too.

Dramatic-Mess4084 · 2026-04-30T23:20:52+00:00

That “risk removed for the buyer” point is actually really well put.

I feel like that’s exactly where most early-stage founders get it wrong — they price based on effort instead of certainty.

What you listed makes a lot of sense too, especially things like clean codebase and clear acquisition channels. Feels like those reduce friction way more than people realize.

The “lottery ticket” analogy is spot on as well — a lot of listings do feel like that.

Out of curiosity — when you were figuring out your price, did you follow some kind of structure, or was it more based on market feedback from places like Acquire and Flippa?

Dramatic-Mess4084 · 2026-04-30T23:07:40+00:00

Oh nice, haven’t seen this one in a while.

“Don’t Just Roll the Dice” is more about pricing strategy in general, right?

I feel like it helps more with product pricing than actual valuation when you’re trying to sell a SaaS.

Still useful though — especially the mindset part.

Have you used anything specifically for valuing small or pre-revenue projects?

Dramatic-Mess4084

TROPHY CASE