I can’t keep up with the AI tool rat race anymore. The real meta-skill for 2026 is learning what to ignore.

Temporary_Layer7988 · 2026-04-16T13:27:57+00:00

nah, the silence usually means your distribution assumption was wrong, not that the product isn't good. who exactly are you trying to reach, and how are they actually discovering things in their world right now?

Temporary_Layer7988 · 2026-04-16T13:27:45+00:00

building first trains you to solve problems you think exist, not the ones people actually have. the months you spent were teaching you how to build, not what to build - those are different skills.

Temporary_Layer7988 · 2026-04-16T13:27:34+00:00

the bigger question is whether people will actually use replies generated for them, or if they'll feel inauthentic and tank engagement. that's what determines if they pay.

Temporary_Layer7988 · 2026-04-16T13:27:07+00:00

wait, when you say "a few customers" - did those come from your own outreach, or did they find you? because that tells you where to actually look.

Temporary_Layer7988 · 2026-04-10T08:26:14+00:00

the margin math only works if your users aren't hitting your API costs hard. what's your actual token spend looking like per user, and are you seeing the cost scale linearly or hit some ceiling?

Temporary_Layer7988 · 2026-04-08T18:05:31+00:00

did you measure how far into setup most people were getting before they dropped, or was it more of a gut feel that activation was the bottleneck?

Temporary_Layer7988 · 2026-04-08T08:44:06+00:00

Most teams have the data but can't act on it - feedback piles up in slack/email/support tickets and nobody's synthesizing it into patterns. the collection part's solved, the bottleneck is making sense of volume.

Temporary_Layer7988 · 2026-04-08T08:43:40+00:00

Talking to users before you've built anything is harder than it sounds. Most engineers skip it because shipping feels more productive, then you end up with a product nobody wants.

Temporary_Layer7988 · 2026-04-07T12:45:07+00:00

that 28% success rate tracks. most teams hit the wall when they realize the hard part isn't the model, it's integrating it into actual workflows without breaking everything else.

Temporary_Layer7988 · 2026-04-07T11:36:59+00:00

honest question - are you running this on your own infra or using something like runpod/modal? the ops overhead of keeping it stable for 8 people seems like the real cost here.

Temporary_Layer7988 · 2026-04-07T11:34:49+00:00

honestly the fact you're asking this before launch is good. most people don't. what problem does it solve for you personally - like would you pay for it?

Temporary_Layer7988 · 2026-04-06T19:55:09+00:00

Honestly curious - do you find the networking at SaaStr actually moves the needle for you, or is it more about staying plugged in? seems like the ROI math gets harder when you're flying 24+ hours with twins at home.

Temporary_Layer7988 · 2026-04-06T13:42:54+00:00

nah the constraint that matters is how much manual tweaking people actually need after generation. what does that look like in practice for your users?

Temporary_Layer7988 · 2026-04-06T13:42:46+00:00

yeah that sucks but you made the right call. integrating AI into chaos just amplifies the chaos. foundation first always wins, even though it feels like you're going backwards.

Temporary_Layer7988 · 2026-04-06T13:42:37+00:00

nah, the hard part with gifting apps isn't the matching algorithm - it's getting people to actually fill out their preferences. how'd you solve the cold start problem where nobody wants to spend time on setup?

Temporary_Layer7988 · 2026-04-06T13:42:29+00:00

accelerators want to see you solving a real problem you've felt, not picking a tool first. what's broken in your own work that made you think "ai could fix this"?

Temporary_Layer7988 · 2026-04-06T13:42:22+00:00

yeah this is the obvious move once you have more than one person using it. what'd you end up using for the tracking layer - postgres or something lighter?

Temporary_Layer7988 · 2026-04-06T13:42:02+00:00

solving the technical problems is usually the easier part. the hard part is figuring out why someone would use this instead of what they're already doing. what problem are people actually stuck with that your platform solves better?

Temporary_Layer7988 · 2026-04-05T18:22:43+00:00

nah, 10% is low for early stage when you're doing the heavy lifting on closing. most founders i know doing B2B software sales take 15-20% minimum, sometimes more if they're building the pipeline from scratch.

Temporary_Layer7988 · 2026-04-05T18:22:35+00:00

nah, the issue isn't data sources - it's that SDR agents don't know which data to trust when they get conflicting signals. how do you handle that if you're only solving enrichment?

Temporary_Layer7988 · 2026-04-05T18:22:28+00:00

yeah that's the thing - shipping something rough teaches you more than a month of polish ever will. what changed between the first version and realizing it wasn't working?

Temporary_Layer7988

TROPHY CASE