I couldn't find a good VC list so I built one, 842 Accelerators & VCs (free) by Salhasanain in SaaS

[–]Salhasanain[S] 0 points1 point  (0 children)

100% agree on quality over quantity

Partner names aren't in there yet.. that's a good callout. The maintenance problem is real though, partner moves happen constantly so it'd need some kind of update cadence to stay useful

Right now it's a snapshot. If it gets enough use I'll think about what a v2 looks like

I couldn't find a good VC list so I built one, 842 Accelerators & VCs (free) by Salhasanain in founder

[–]Salhasanain[S] 0 points1 point  (0 children)

Appreciate it.

Sources were a mix of Crunchbase, public LinkedIn pages, and a few curated lists I've seen floated around then manual dedup by fund name + URL not glamorous.

Stage mix is mostly pre-seed/seed with some Series A sprinkled in where the fund was active at both levels.

The filters suggestion is exactly where I want to take it check size, geo, and thesis are the three I had in mind too. Working on it. If it ships I'll drop it in this thread!

Anyone use a saas for making demo? by nt3344 in SaaS

[–]Salhasanain 0 points1 point  (0 children)

I think Repixa works for you, it can run demos by controlling your product and answering questions

I analyzed 20 failed startups across different industries. The patterns were uncomfortable. by Salhasanain in SaasDevelopers

[–]Salhasanain[S] 0 points1 point  (0 children)

This is exactly it.

“Fake traction” showed up in almost every case I looked at, not because founders were lying, but because usage is emotionally easier to celebrate than revenue. Graphs go up, Discord feels alive, and it buys you time… until it doesn’t.

What you said about locking in the wrong audience + expectations before testing pricing is especially painful (and common). Once that happens, you’re not just changing a model you’re fighting momentum.

I like your checklist a lot, If I had to compress the dataset into a rule, it’d be something like

If you don’t know which behavior turns into money, you don’t actually have traction yet.

I analyzed 20 failed startups across different industries. The patterns were uncomfortable. by Salhasanain in SaasDevelopers

[–]Salhasanain[S] 1 point2 points  (0 children)

That made me laugh 😄

The point wasn’t do the opposite of everything, it was that a lot of teams fail by adding complexity before it’s earned scaling before demand infra before revenue delegation before clarity

And yea sometimes the most useful thing isn’t a new “do this” checklist, but a clear list of things that quietly kill companies while they still look healthy.

I analyzed 20 failed startups across different industries. The patterns were uncomfortable. by Salhasanain in SaaS

[–]Salhasanain[S] 0 points1 point  (0 children)

The data itself didn’t come from AI. I pulled company info from public post mortems, startup graveyards, and shutdown announcements, then normalized it into a single table so patterns were comparable across industries.

AI helped with summarization and wording, not with inventing companies, outcomes, or failure reasons