Pick your audience type and the timezone your audience sits in. The tool returns a recommended launch day-and-hour window in your browser, built from FORKOFF's wave-timing heuristics, and converts the anchor across timezones so you know exactly when to hit post. Every number is a labeled heuristic, and nothing leaves the page.
Pick where your audience mostly sits. The window is computed in your browser and converted across timezones so you know when to hit post on your own clock. Every number here is a timing heuristic, not a measured promise.
These are heuristics, not a measured stat. The evidence for why timing and early velocity matter is in the RADAR study and the launch-scam audit linked below.
A launch post is not read once. The platform reads its early velocity first, then decides how far to push it. Timing the post so its first sixty minutes land inside the audience's peak window is the cheapest lever a founder controls, and it is the one the optimizer is built around.
Top of the hour
Post on a clean top-of-the-hour timestamp. It reads as a deliberate launch and it lines up the queued replies, quote-tweets, and creator amplification into one coordinated wave.
For the deeper background behind this number, read the audit of 134 X launches that separated what moved the numbers from what did not.
First sixty minutes
Front-load the first hour with your own network and creator replies. Early velocity is what the algorithm reads first, so the launch that compounds is the one that lands its engagement fast, not over a day.
4
Audience types
Devtools, SaaS, consumer, and web3 windows
60 min
First-hour window
Where early velocity is read (heuristic)
5B+
Views processed
The FORKOFF distribution ledger behind RADAR
$0
Cost to run
Free, computed live in your browser
Two inputs, one window, converted across timezones. The levers are the wave-timing rules FORKOFF sequences a launch on, applied to your audience and clock.
Pick your audience type
Choose developer tools, B2B SaaS, consumer, or web3. Each type maps to a different behavior window: devs mid-morning, B2B midweek mornings, consumers on leisure-time evenings, crypto on the global overlap.
Set the primary timezone
Choose where your audience mostly sits. The tool reads that timezone's UTC offset and either anchors a local peak hour or converts the global overlap into your selected timezone.
Read the window and the days
The tool returns a launch hour window in your timezone, the best days of the week, and the UTC anchor so a distributed team can coordinate the post around one clock.
Apply the two levers
Post on the top of the hour, and front-load the first sixty minutes with your own network and creator replies. Timing sets the stage; the first-hour velocity is what the algorithm reads.
Any time you are about to launch and are guessing at the day and hour, the window read is the cheapest way to line the post up with your audience before you fire.
Built for
Not the right fit
Authorship
Kshitij JK
Founder, FORKOFF
Last reviewed:
Published:
Methodology
The recommended windows are audience-behavior heuristics, not a measured study stat: devtools anchors to a local morning window, B2B SaaS to midweek mornings, consumer to leisure-time evenings and Sunday, and web3 to the US-and-Europe overlap around 15:00 UTC. The tool converts each anchor across timezones using fixed standard-time UTC offsets. The two levers, top-of-the-hour posting and the first-sixty-minute velocity window, are the wave-timing rules FORKOFF sequences a launch on. Everything is computed client-side with no data leaving the browser; the evidence for why timing and early velocity matter lives in the linked RADAR study and launch-scam audit.
Sources cited
Have a question about the Launch-Day Timing Optimizer methodology, or need help calibrating against your campaign data? Book a 30-min strategist call
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