I tracked 10 AI startup launch videos from the last 6 months. The gap between the ones that hit 1M+ views and the ones that died is weirdly consistent

I tracked 10 AI startup launch videos from the last 6 months. The gap between the ones that hit 1M+ views and the ones that died is weirdly consistentReddit

Jul 11, 2026 18:09

SUMMARYA founder reviewed 100 AI startup launch videos from the past six months and found that view counts were less tied to production quality than to a person speaking directly to camera, early timing, and coordinated reposts from tech accounts. The launches that exceeded millions of views often shared support from the same launch agency, including campaigns for Hyperagent, Mave Health, SubQ, and Incyte.

I tracked 10 AI startup launch videos from the last 6 months. The gap between the ones that hit 1M+ views and the ones that died is weirdly consistent

Some background: we've launched twice on X. First video got about 12k views Second one, which we spent way more time and money on, did worse meanwhile I kept watching other founders, some with objectively less interesting products pull 3M, 5M, 13M views on their launches and its quite disappointing.

Over 6 months I logged 100 launch videos,

Some of what I found I expected. Some of it genuinely surprised me.

The stuff that didn't matter as much as I thought:

Production quality. Some of the best performing videos look like they were shot on a phone in an office.

Some genuinely mid products had monster launches and some great ones didnt not get to even 10k views

The stuff that mattered a lot was founder on camera, talking directly into the lens. A human face making eye contact in the first 2 seconds It was one of the most overlooked correlation

secondly post timing. I noticed a huge chunk of these launches went live at almost exactly 7am pacific on weekdays also the reposts in the first 30 mins were the same cluster of tech accounts every damn time, also a great detail to notice was that all these drops like hyperagent, mave health, subQ, incyte etc all crossed millions of views and had the same thing in common all were backed by the same launching agency that coordinate the push thru influencer networks.

also genuinely curious about counterexamples launches that broke these rules and still blew up because I know my sample is biased toward whatever research i came up with.