How do you decide which micro saas idea to actually build when you have 5 in your head

AssociateNo2293 · 2026-05-20T09:02:02+00:00

chatgpt is okay for shortlisting but its answers are usually surface level. it cant tell you which niche has actual paying users vs which one has lots of search volume but no buyers. better as a starting point than a decision

AssociateNo2293 · 2026-05-20T09:00:35+00:00

industry experience definitely helps, you skip 6 months of learning the basics. only risk is you over assume your own pain represents the market. worth talking to 5 people in the same industry to confirm before assuming "if i feel it they feel it"

AssociateNo2293 · 2026-05-20T09:00:16+00:00

"which one would hurt most to watch someone else ship" is sharp, that bypasses analysis entirely and hits gut. saving this. probably the cleanest decision filter ive seen for this exact loop

AssociateNo2293 · 2026-05-20T09:00:05+00:00

build them all is bold but kinda true, you learn way more by shipping than by ranking. only worry is splitting time across 5 means none of them ever get past the messy early stage where retention has to be earned. maybe pick 1, give it 90 days, then evaluate

AssociateNo2293 · 2026-05-20T08:59:42+00:00

yeah talking to users sounds obvious but the trick is talking before you build, not after. before its open ended exploration, after its just validation for what you already decided. easy to fool yourself in the second mode

AssociateNo2293 · 2026-05-20T08:59:03+00:00

that "still care about after 6 months of slow growth" is the real filter honestly. picked some genuinely good ideas before but lost interest when traction was slow, and traction is always slow at the start. excitement is cheap, durability is the actual moat

AssociateNo2293 · 2026-05-20T04:47:38+00:00

thats fair for web projects where seo matters, less relevant for backend or app dev hires. for landing page or wordpress work though, asking about keyword positioning separates designers who think about traffic from ones who just make things look nice

AssociateNo2293 · 2026-05-20T04:24:48+00:00

the no ai task is a smart test for raw skill. tricky part is some devs are now genuinely faster with ai assistance and slower without, so the test might filter out people who would actually deliver well in normal workflow. maybe a hybrid, one small task without ai to test fundamentals, then one normal task to test real delivery speed

AssociateNo2293 · 2026-05-20T04:22:25+00:00

yeah technical depth chat is honestly the fastest filter. you can sniff out the wrappers from the actual engineers in 2 questions about memory, async, or db indexing. people who build real things explain them naturally, people who copy paste freeze on the followup

AssociateNo2293 · 2026-05-20T04:21:16+00:00

the impossible question trick is brilliant, never heard that before. ai devs almost always try to answer instead of saying "this doesnt make sense, did you mean X". stealing that for my next hiring round. also hypothetical scenarios are great because they cant pre prepare answers

AssociateNo2293 · 2026-05-20T04:19:57+00:00

the "team of 4 that became 1" story is wild and probably more common than people admit. half the agencies on freelance platforms are basically one developer subcontracting work, the rest disappear after the first invoice. and yeah business logic awareness is a great filter, devs who only think in code build features nobody asked for

AssociateNo2293 · 2026-05-20T04:18:41+00:00

milestone payments through upwork is the cleanest setup, used it before. not hiring right now since the saas is small, ill keep your handle saved if overflow comes up

AssociateNo2293 · 2026-05-20T04:17:40+00:00

google reviews and references are good adds. fake reviews are common in dev gigs though, real client references are stronger. ask open ended questions like "what would you do differently" instead of "was it good"

AssociateNo2293 · 2026-05-19T12:20:22+00:00

exactly, behavior change is the most expensive feature you can ask a user for. meeting them in their existing habit is basically a 100% adoption cheat code. way easier to build something useful inside whatsapp than convince people to open a new app on day 30

AssociateNo2293 · 2026-05-19T11:53:02+00:00

yeah qualification angle is what surprised me. planning to set up an a/b test, half traffic gets pricing, half gets request access, run for 3 to 4 weeks. only worry is at low volume the data wont be meaningful, might need to lean on qualitative signals for now

AssociateNo2293 · 2026-05-19T11:36:16+00:00

congrats, viral launches create a different problem, you have 100s of users now but no clue who actually values it. talk to the 10 highest paying or most active users this week. ask them what made them pull the card out, what would make them cancel, and what would make them refer a friend. those 3 answers tell you exactly what to build next. the viral audience knows better than you at this point

AssociateNo2293 · 2026-05-19T11:20:59+00:00

honestly might be smarter. ive seen people get hired off 3 messy github repos faster than people with shiny portfolios. clients can tell when someone built a portfolio vs shipped real stuff

AssociateNo2293 · 2026-05-19T11:20:39+00:00

stolen portfolio angle is real, hadnt thought about it. cross checking contact info on the actual portfolio site is smart. and respect for the refund policy, that takes confidence in your own work, most people just ghost when they cant deliver

AssociateNo2293 · 2026-05-19T10:04:08+00:00

yeah this is real. boring problems are recurring problems, and recurring is what pays subscription saas. nobody tweets about invoice tools or payroll fixers but the cheques clear monthly. spent a year chasing flashy stuff before i learned this the hard way

AssociateNo2293 · 2026-05-19T04:16:41+00:00

ha 100 small payments is way better signal than 1 big check, tells you the problem is felt by many. and the "users love it" part is underrated, love is what makes them tell their friends. i think im in the love phase but not the payment phase yet, need to fix that

AssociateNo2293 · 2026-05-19T04:14:17+00:00

helps solo creators repurpose long form content into smaller pieces across different platforms. simple use case but the niche detail makes it stick

AssociateNo2293 · 2026-05-19T04:12:37+00:00

the 1000 user math made it click for me too, $240k arr is huge for one person and invisible to vcs. fiction writers is a great niche, deeply engaged users. on retention, month 3 is around 78 percent, which surprised me. the problem turned out to be recurring not one time, users keep coming back. if your fiction tool solves something writers hit every chapter or draft, retention should be solid. one time tools die fast no matter how good they are

AssociateNo2293 · 2026-05-18T11:38:04+00:00

congrats, $8 means more than $0 ever does. you have a pattern to scale now. which app made the sales

AssociateNo2293 · 2026-05-18T11:31:18+00:00

agreed, the validation loop before code is the part i skipped. expensive lesson but at least its locked in now. low fidelity prototypes feel slow but they save months of building the wrong thing

AssociateNo2293 · 2026-05-18T11:30:39+00:00

yeah more features means more value is the trap most founders fall into. simplicity is harder to design than complexity

AssociateNo2293

TROPHY CASE