Day 21.
If you had to choose one channel to test early traction - what would it be?
Twitter, Reddit, LinkedIn, or niche communities?
Curious what's actually worked for others building SaaS.
Day 14.
Okay, builder friends - what's your best trick for getting actual user feedback?
People sign up, click around, vanish…
Need to figure out how to turn silence into insight 😅
Day 9.
Early-stage marketing feels like detective work.
Every metric is a clue, every click a mystery.
Any tools people swear by for catching early user behaviour patterns? )
Day 8.
Experimenting with Google Ads.
Day 1: impressions flying.
Day 2: zero.
Didn’t touch a thing.
Either it’s learning… or it’s napping 😅
Anyone knows what could cause that?
Day 7.
First week done ✅
From zero to a few curious visitors, a few messages, a few "hm.." moments.
Still early - but at least it’s not 0 sign ups anymore.
Next: figure out what actually sticks.
Day 6.
Funny how analytics dashboards can change your mood.
+3 signups = dopamine
-20% conversion = despair
Startup life is basically a data-driven rollercoaster..
Day 5. Deep in analytics land.
GA says one thing, backend says another… and ads?
Charging for bonus visitors apparently 😅
Wish it worked the other way round. Any ad platform tips?
Day 4. Saturday (eh.. forget about weekends).
Who would’ve thought - there are bugs in a newly delivered software 😅
Surely, “AI is smarter than a PhD”… until you try to catch a bug in a non-deterministic system.
Then your first hard-won user finds it. Bummer
Day 3 update: bots love us, humans... less so 😅
Mobile clicks galore, barely any signups.
Desktop behaves like a different world.
Is it just me, or does productivity SaaS always start this way?
Day 2 🚀
Started with Google Ads first. Opened the funnel wide - got bots, then crickets.
Now Google says it "ML needs 1-2 weeks to learn."
That’s forever in startup time 😅
Anyone found a quicker way to test or iterate early?
#buildinpublic#marketing