FORKOFF is a distribution-led AI startup launch video agency: a done-for-you launch video and launch event for AI model, agent, and app launches, priced on the outcome, not the production. We own the distribution mechanism most studios leave to your following: a 14-day cluster warm-up, debate-principal tagging, recap-account seeding, and launch-day wave-ride monitoring, with every view audited against the AI launches already in the RADAR corpus.
An AI startup launch video is a short, X-native video an AI team posts to announce a model, agent, app, API, or funding launch, engineered to cross a large view threshold on launch day. AI is the highest-velocity launch category on X: in the RADAR launch corpus it is the largest vertical by audited view volume, 7 of 30 tracked launches carrying about 39 percent of all audited views. Most AI launches still stay unseen, because the studio sells the asset and leaves distribution to the founder's following. FORKOFF is a distribution-led AI startup launch video agency: we contract on the outcome, views then pipeline, and own the distribution mechanism, a 14-day cluster warm-up, debate-principal tagging, recap-account seeding, and launch-day wave-ride monitoring. An AI launch goes viral not with production polish but with the distribution mechanism: a warmed named cluster watching at minute zero, a hook that shows the model doing something new inside the first second, tagging into a live AI debate, seeding recap accounts, and every view audited on the views-per-like method against the AI launches already benchmarked in the corpus. The capability is reverse-engineered from public launches that crossed 1M views, audited on RADAR, and applied to the AI launch where the cluster moves fastest.
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An AI video studio ships a slick model demo, then the launch is your job: post it into the fastest, noisiest cluster on X and hope it catches before the news window closes that same day. That is why so many strong AI launches are seen for an afternoon and forgotten. FORKOFF runs the launch as one engineered event built for the AI cluster's speed: a 14-day warm-up so a named AI ICP cluster is watching at minute zero, debate-principal tagging on a live AI argument, recap and alpha-account seeding, and wave-ride monitoring, all inside the contract. The model demo is the warhead. The warm cluster is the missile. See how any launch built its reach, earned or bought, inside RADAR, our launch intelligence, then pair the launch with Twitter Marketing or the broader AI startup growth motion.
A real public launch, read on the method FORKOFF uses to audit every view. Below the roughly 500-to-1 organic ceiling, the reach reads as earned. Above it flags a distribution-amplified signature. This dial is a public launch, not a FORKOFF client.
The launch on the dial
OpenAI's Jalapeño AI chip
@OpenAI · 2026-06-24
At 312 views per like the engagement keeps pace with the reach, inside the organic ceiling, so RADAR finds no distribution-amplified signature. This is the same read FORKOFF runs on every view of a guaranteed viral launch.
See the full RADAR reading →FORKOFF runs the AI startup launch video as a done-for-you launch event, not a file purchase. Rather than sell a model demo and leave distribution to your following, we publish the pricing model: outcome-anchored on views then pipeline, by application, with the weekly report and the audited view count as the accountability mechanism. Premium, selective, scoped to your model, agent, or app launch. You get the operator who runs the distribution mechanism plus the team building the asset, the warm-up, and the proof layer underneath.
Cluster warmed across the 14 days before launch. Hook engineered to show the model working inside the first second. First-window velocity managed live, then pipeline attributed to the launch on the audit proof, with every view read on the views-per-like method against the AI launches already in the corpus. The playbook behind those numbers is in our 100k-view launch video guide. The generic launch-video service lives at Product Launch Video. Not AI-native? The same launch, framed for a SaaS launch or a YC demo-day launch, or a consumer or DTC launch. For the motion around the launch, pair it with Twitter Marketing or Founder Funnel, and read the reach forensics inside RADAR, browse the ranked launch examples, and check any launch against the views-to-likes benchmark.
The ongoing cross-vertical creator program the launch video plugs into. Bot-screened placements priced on qualified views.
The full consumer rollout the launch video plugs into. Product Hunt mechanics, beta lists, and mainstream onboarding.
The ongoing organic founder spine that keeps the cluster warm between launches.
The paid placement layer for amplification beyond your own warmed cluster.
The closed-loop pipeline under the launch. Views become attributed inbound.
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