Threads scheduler for ML engineers
Built for the cadence ML engineers actually post at — not generic marketing tools.
Start with Growly →If you're one of the ML engineers reading this, you already know the trap: posting feels off-brand vs. the research papers you're used to. The hardest part isn't the writing — it's the cadence. Growly's slot + draft pool system was built to solve exactly that. Set the rhythm once, fill the pool when you're inspired, and the right training run insights ship at the right times without you babysitting the calendar.
Common challenges
- Posting feels off-brand vs. the research papers you're used to
- Posting drifts off when training run insights pile up faster than you can publish them
- Tools for big teams feel oversized — you ship alone
- No data on what actually moves the needle for ML engineers on Threads
How Growly helps
- Define recurring slots once — Growly fills them from your training run insights pool
- Tag posts by topic so the right slot picks the right draft
- Per-post analytics tuned to ML engineers: views, replies, repost reach
- AI suggestions trained on your past training run insights, not a generic prompt
A typical week with Growly
- Monday: open Growly, scan last week's per-post analytics — find the training run insights that hit hardest.
- Tuesday: draft 3-5 new training run insights in the composer, tagged by topic.
- Wednesday-Friday: slots fire automatically; you respond to replies in the Engagement tab.
- Sunday: 10-minute pool top-up so next week's slots have ammo.
Recommended cadence
For ML engineers, the sweet spot is usually 3-5 posts per week with at least one thread on Fridays. Set two slots (Tuesday 9am + Friday 12pm), aim for 8-10 training run insights in the pool, top up weekly.
Sample posts you could ship today
If you're a ML engineers and your last three training run insights all ended with "DM me", you don't have a content problem — you have a hook problem. Open with the thing they want to know, ask for the DM at the end.
ML engineers: here's the 80/20 of training run insights that actually convert. Show specifics. Avoid abstractions. Always end on one concrete next step.
Hot take for ML engineers on Threads: posting feels off-brand vs. the research papers you're used to The solution isn't "post more". It's posting from a pool with a slot system — that way the cadence is set whether you feel like it or not.
Early access perks
The waitlist isn't just a queue — it comes with real benefits for the first wave of creators.
- Free during the entire betaFull access to every feature at no cost while we build and refine the product together.
- Lock in founder pricingWaitlist members get access to a permanent discount before public pricing is announced.
- Shape the roadmapDirect channel to submit feature requests and vote on what we build next. Your feedback ships.
Frequently asked
Does Growly fit ML engineers who post only a few times a week?
Yes. Set 2-3 slots a week, queue training run insights ahead, and let Growly pick from the pool.
How are AI suggestions trained for ML engineers?
Growly reads your imported post history and your tagged drafts; suggestions sound like you and target your audience.
Start scheduling with Growly
Free during early access. Founder pricing locked in for waitlist members when paid plans launch.
Start with Growly →