Stopwritingthesamecaptionsixtimes
Feed it a transcript, a rough idea or last week’s post. You get network-native captions that sound like you — because the assistant has read what you already publish.
- ~4 seconds per draft
- Your voice, not a robot’s
- Edit before it sends
Three things we learned shipping the spring drop in 14 days 👇 (hint: the third one hurt)
Shorten by 30%
Rewritten in 1.2s
From raw footage to finished captions
Upload the launch film once. The assistant pulls the transcript, finds the lines people would quote, and rewrites them to fit each feed — hook first, hashtags last.
- 98% transcription accuracy
- Hook detection across 40+ languages
- Sends straight to the scheduler
“…so the first thing we cut was the feature list.”
“What survived was the one promise customers repeat back to us.”
“That line became the whole campaign.”
Generated from the transcript
The line that became the whole campaign 🎯
We cut the feature list. Customers repeated back one promise — that became the campaign.
cut the features → kept the promise 🎬
One upload → three native captions in 4 seconds
You hold the pen, AI holds the blank page
Every output is editable, and every control maps to something you would otherwise explain in a comment thread.
- ▍Tone dialsFriendly, professional or punchy — the assistant keeps your vocabulary and changes the temperature.
- Hashtag setsRanked tags per network, capped at the size each algorithm actually rewards.
- LocalesRewrite the same idea for a Urdu-speaking or German audience without losing the hook.
- Rewrite on clickToo long, too soft, too corporate? Ask again and it re-rolls in place.
One idea, three native captions
Same story, three different shapes — because each feed rewards a different opening line.
“Three things we learned shipping the spring drop in 14 days 👇 the third one hurt.”
“We cut our launch cycle from six weeks to fourteen days. The trade-off was not speed — it was scope.”
“POV: you finally stopped rewriting the same caption eight times 🎤”
Three moves to a finished post
- 01posthub ingest ./launch-film.mov
Drop in the source
A video, a voice note or a rough bullet list. PostHub transcribes it in seconds.
- 02posthub voice --tone friendly --net linkedin
Pick a voice
Choose the tone and the network. The model reads your last 200 posts for phrasing.
- 03posthub send --to scheduler
Edit once, ship everywhere
Tweak the words you care about, then send the caption straight to the scheduler.
Give the blank box a head start
Draft your next week with the assistant beside you — keep every word you like, change the rest.
No credit card · 15 networks included · cancel anytime