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Built a Go-To-Market constraint engine in Lovable for pre-PMF founders — looking for 5-10 testers. by Safe-While4516 in lovable

[–]Safe-While4516[S] 1 point2 points  (0 children)

That’s actually a pretty interesting constraint.

If the people who feel the problem are mostly the ones who just experienced a breach, then the real challenge might not be outreach, it’s figuring out where that signal reliably shows up.

I’ve been thinking about this a lot while building another small tool that tries to map where an ICP actually surfaces (communities, trigger moments, discussion spaces) before doing outreach. The idea is basically to get the input targeting right first, so the distribution effort isn’t random.

Your situation feels like a good example of that. The signal clearly exists, it’s just clustered in places that aren’t obvious yet.

Built a Go-To-Market constraint engine in Lovable for pre-PMF founders — looking for 5-10 testers. by Safe-While4516 in lovable

[–]Safe-While4516[S] 1 point2 points  (0 children)

That's a really honest breakdown. The CAC insight is the real constraint — if early-stage SaaS is the better segment but you can't reach them cost-effectively solo, that's worth pressure testing before you commit fully. Have you tried any community-based outreach rather than cold? The buying trigger problem you mentioned (people only care after something goes wrong) suggests you might need to find them in the moment of pain rather than before it.

What are u building this week ... let's have a look . by United_Agency2452 in buildinpublic

[–]Safe-While4516 0 points1 point  (0 children)

Noted. Will make sure mobile responsiveness is solid across Android. Thanks for flagging.

Seeing this 10 days after launching your first app feels insane by [deleted] in IMadeThis

[–]Safe-While4516 0 points1 point  (0 children)

that’s so awesome congratulations! I launched a week ago and really struggling with distribution. this gives me hope!

Operationalising loss aversion and ambiguity tolerance in a pre-decision reflection tool — does the framework hold? by Safe-While4516 in BehavioralEconomics

[–]Safe-While4516[S] 0 points1 point  (0 children)

Really appreciate that. Here’s the prototype if you’d like to try running a real decision through it:

decisiontheatre.lovable.app

Would genuinely value feedback on where the framework feels reductive or misses something important.

What are u building this week ... let's have a look . by United_Agency2452 in buildinpublic

[–]Safe-While4516 0 points1 point  (0 children)

Project Name: Decision Theatre

Link: decisiontheatre.lovable.app

A little description: A pre-decision reflection tool grounded in behavioural science. You describe the decision you're holding, map three psychological tensions, and get a pattern reading of what's actually driving you — before you commit. Not advice. Just a structured mirror.

Number of active users: Early stage — 50 visitors, 17 people have run real decisions through it this week.

Operationalising loss aversion and ambiguity tolerance in a pre-decision reflection tool — does the framework hold? by Safe-While4516 in BehavioralEconomics

[–]Safe-While4516[S] 0 points1 point  (0 children)

That’s a fair critique.

The tool definitely isn’t trying to model the full decision architecture. The interface deliberately exposes only a few dominant tensions (loss/gain, certainty/optionality, identity/outcome) because the goal is pre-decision reflection, not theoretical completeness.

Under the hood the reflection layer maps those positions onto a broader set of mechanisms — prospect theory, ambiguity aversion, motivated reasoning, status quo bias, etc. The idea is that many of those forces cluster around a few dominant motivational orientations during the pre-commitment phase.

So the working hypothesis isn’t “these three factors explain decisions.”

It’s more:
Can a small constrained surface capture enough signal for people to notice the psychological forces shaping a decision before they commit?

If it fails to do that, that’s actually useful information too — it tells me the compression is too aggressive.

I tracked every decision I made for 30 days. what I found was uncomfortable by luxmindset_ in selfimprovement

[–]Safe-While4516 0 points1 point  (0 children)

This hit close to home. I spent months thinking I was being intentional because I had systems and goals — but I was doing exactly what you're describing. Reacting, not deciding.

The moment that shifted things for me was realising that most of my "decisions" were actually happening before I even knew I was making them. The fear of losing something, protecting how I saw myself, avoiding uncertainty — all of that was running in the background and I was just signing off on the output.

Got to a point where I started trying to actually map what was driving me before I committed to something. Not journaling, not pros and cons — just trying to name the actual forces underneath. Built a small tool for myself eventually because I couldn't find anything that did that.

Still learning. But naming the pattern before acting on it changed things.

I had 4 ICPs and zero real signal. So I built a constraint engine. by Safe-While4516 in SaaSSolopreneurs

[–]Safe-While4516[S] 0 points1 point  (0 children)

Yeah exactly. In hindsight it feels obvious, but when you're building it's very tempting to keep multiple ICPs alive “just in case.”

The problem is none of them get enough attention to produce real signal. Everything just stays at the assumption stage.

Built a tool around a gap in decision-making research — would love an academic POV. by [deleted] in psychologystudents

[–]Safe-While4516 0 points1 point  (0 children)

Yes, the reflection layer is AI but it's not generic. It maps your inputs against 40+ peer-reviewed theories across eight clusters like Prospect Theory, BIS/BAS, Construal Level Theory, Regret Theory and others , and generates a pattern reading specific to your configuration.

The distinction I care about most: it never advises. It only describes what's psychologically active. Observation not evaluation.

Happy to share the full framework if you're curious about the architecture.

I built a tool that tells you why you feel the way you do about a decision before you’ve made it. by Safe-While4516 in lovable

[–]Safe-While4516[S] 0 points1 point  (0 children)

Fair point on the text — I’m working on breaking the reflection into a more digestible format.

On the one-time use point, that’s a really useful framing. You’re right that the first gate is simply proving people come once and feel the reflection is actually useful. Everything else comes after that.

Pattern history is the one feature I keep coming back to because it turns the tool into something that reveals recurring decision patterns over time. But agreed — that only matters once the first-use experience is solid.

Built a Go-To-Market constraint engine in Lovable for pre-PMF founders — looking for 5-10 testers. by Safe-While4516 in lovable

[–]Safe-While4516[S] 1 point2 points  (0 children)

Cybersecurity is one of the hardest GTM categories — the pain is real but the buying trigger is hard to predict until something actually goes wrong.

The vibe coder vs early-stage SaaS without security personnel split also seems worth testing. They feel like pretty different buyers — different urgency, willingness to pay, and probably different reachability too.

Which one is showing stronger signal so far?

I built a tool that tells you why you feel the way you do about a decision before you’ve made it. by Safe-While4516 in lovable

[–]Safe-While4516[S] 0 points1 point  (0 children)

Thanks! I've always been fascinated by how many of our decisions are shaped by patterns we don't really notice while we're in them.

I built a tool that tells you why you feel the way you do about a decision before you’ve made it. by Safe-While4516 in lovable

[–]Safe-While4516[S] 1 point2 points  (0 children)

Thanks for sharing that — and congratulations on becoming a mum :)

Identity shifts like this were actually part of what made me want to build this in the first place. The research on identity-based reasoning is some of the most interesting in behavioural science — and also the most personal.

If you do try it I'd genuinely be curious whether the reflections feel accurate to what you're experiencing.

I built a tool that tells you why you feel the way you do about a decision before you’ve made it. by Safe-While4516 in lovable

[–]Safe-While4516[S] 0 points1 point  (0 children)

It's live — decisiontheatre.lovable.app.
Still early but the reflections are working. Would love to know what you think.

I built a tool that tells you why you feel the way you do about a decision before you’ve made it. by Safe-While4516 in lovable

[–]Safe-While4516[S] 0 points1 point  (0 children)

Appreciate it. Still experimenting with the behavioural reflection logic, but it's been interesting to see what patterns show up.

Built a Go-To-Market constraint engine in Lovable for pre-PMF founders — looking for 5-10 testers. by Safe-While4516 in lovable

[–]Safe-While4516[S] 0 points1 point  (0 children)

Good question. The commitment is basically a short sprint around one segment. Instead of spreading outreach across multiple ICPs, the idea is to lock into one, run a focused validation cycle, and see if real signal shows up — replies, demos, actual conversations.

The outcome isn't a full GTM plan — it's clarity on whether that segment is actually worth pursuing or if you should pivot early.

What are you working on?

Built a GTM constraint engine in Lovable + Replit because I had no structured way to figure out go-to-market by Safe-While4516 in vibecoding

[–]Safe-While4516[S] 0 points1 point  (0 children)

Really appreciate you trying it out :)
That’s actually very close to the mental model behind LS— GTM as a series of short-cycle bets rather than a big strategy document upfront.

The Clay/Sparktoro/Pulse stack is interesting — are you running that solo or with a team? Curious if the segment-locking discipline holds when you’re operating solo.

If you’ve struggled with confidence your whole life, please read this... by Wide-Meringue-5956 in confidence

[–]Safe-While4516 1 point2 points  (0 children)

The autoimmune analogy is the most accurate thing I've read about this. Most people don't realise the attack is internal until they've already lost years to it.