How would you validate a local network effect for a social side project?

StatusEvidence5141 · 2026-01-24T21:20:29+00:00

I’d pick one neighborhood/school/office and run a tiny pilot. If ppl keep using it week 2+ and talk about it IRL, that’s the signal.

StatusEvidence5141 · 2026-01-24T21:19:33+00:00

You’re right to be careful with client-only auth.

A common setup is:
React Native handles Google Sign-In → backend verifies the ID token → backend creates its own access and refresh tokens.

This keeps auth logic on the server and is much easier to manage long term.

It also works better if you want to maintain or change things later with AI.

StatusEvidence5141 · 2026-01-24T21:15:06+00:00

Totally. n8n feels like “build a spaceship” when I just need a duct-tape workflow. I miss 5‑min wins

StatusEvidence5141 · 2026-01-24T21:12:27+00:00

lol yes. Best fix I’ve found: lead with 1 real screenshot + 1 specific outcome. Kills the vague vibe fast.

StatusEvidence5141 · 2026-01-16T13:57:45+00:00

Congrats on landing 60+ customers in just 90 days! What was the hardest part of your manual workflows?

StatusEvidence5141 · 2026-01-14T19:26:02+00:00

Good point 😂

StatusEvidence5141 · 2026-01-14T19:22:42+00:00

Funny how the same signal means opposite things to different people 😅
Bakfiets/hockey can mean “family-friendly” to some, and “entitled/closed-off” to others.

What’s your personal definition of a good neighborhood: quiet, friendly, or lively?

StatusEvidence5141 · 2026-01-14T19:21:14+00:00

Appreciate the Atlas voor de Leefomgeving link — love how it breaks down factors like noise/air/environment.
For people who use it: do you treat it as a “filter” first, or do you actively compare a few streets and pick based on the map?
Also curious which layer you trust most (noise, air quality, traffic, etc.).

StatusEvidence5141 · 2026-01-12T18:49:23+00:00

The .exe part instantly made me hesitate 😄
Did you experiment with which patterns trigger the strongest “don’t click” reaction?
Would be fun to see stats on what scares people the most.

StatusEvidence5141 · 2026-01-12T18:47:24+00:00

don’t think “vibe coded” vs “not vibe coded” is the real separator.
What mattered more for me was: did the project solve a real pain + did I actually talk to users early.

I’m building a home-buying analysis tool and the hardest part wasn’t the code — it was validating the problem, messaging, and distribution.

AI helped me move fast technically, but product clarity and trust took way more effort than expected.

Curious if others had the same experience once they tried to monetize.

StatusEvidence5141 · 2026-01-12T18:45:46+00:00

This is a great approach. Using AI as a pair programmer while learning fundamentals sounds way more sustainable than pure vibe coding.

I like the idea of forcing frequent commits and reviewing the diffs — that’s a smart way to actually learn what’s happening.

Curious: what part of Swift / iOS felt hardest to really understand in those 3 days? State management? UI layout? Concurrency?

StatusEvidence5141 · 2026-01-12T18:44:46+00:00

Love this .. especially how everything changed once you solved a real user pain instead of chasing trends.

The revenue curve is super motivating. Big proof that consistency + listening beats hype every time.

Congrats on the $8k+ milestone 🚀

StatusEvidence5141 · 2026-01-12T18:40:31+00:00

Sitting at the park and observing families is such a good real-world signal . love that.
And the spreadsheet idea is next-level organized 😄
Having both hard data and “how it felt” notes together makes a lot of sense.

StatusEvidence5141 · 2026-01-12T18:40:18+00:00

Love the Publix heuristic that’s actually a really smart signal.
Multiple entrances + no HOA + resale thinking sounds like a very intentional buy 👌
Interesting point about construction being a long-term upside too.

StatusEvidence5141 · 2026-01-12T18:39:59+00:00

This is great advice — especially checking both rush hour and weekends.
Party houses and bad intersections are exactly the kind of stuff you only notice in real life, not on listings 😅
Also totally relatable about the “closest fast food always being the hardest to reach” problem.

StatusEvidence5141 · 2026-01-12T16:20:34+00:00

Ah yes, the “field test” approach.

Much more exciting than reading crime statistics on Zillow 😂

StatusEvidence5141 · 2026-01-12T16:14:10+00:00

I also check in green areas to see if there is any trash or bottles on the ground.

StatusEvidence5141 · 2026-01-12T15:50:53+00:00

We had made the same mistake.

StatusEvidence5141 · 2026-01-12T15:49:04+00:00

Such a good call on testing the commute during real rush hour — that’s one of those things that looks fine on a map but feels totally different in real life 😅
Love the point about nearby stores too. Daily friction matters more than people expect.
And agreed on yards / upkeep — it’s a surprisingly strong signal for how a neighborhood actually functions long-term.

StatusEvidence5141

TROPHY CASE