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.
Difficultés courantes
- 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
Comment Growly vous aide
- 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
Une semaine type avec 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.
Rythme de publication conseillé
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.
Exemples de posts à publier dès aujourd'hui
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.
Les avantages de l'accès anticipé
La liste d'attente n'est pas qu'une simple file — elle offre de vrais avantages à la première vague de créateurs.
- Gratuit pendant toute la bêtaAccès complet à toutes les fonctionnalités sans frais pendant que nous construisons et peaufinons le produit ensemble.
- Bloquez le tarif fondateurLes membres de la liste d'attente bénéficient d'une réduction permanente avant l'annonce des tarifs publics.
- Façonnez la feuille de routeUn canal direct pour proposer des fonctionnalités et voter sur nos prochains développements. Vos retours sont mis en œuvre.
Questions fréquentes
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.
Commencez à planifier avec Growly
Gratuit pendant l'accès anticipé. Tarif fondateur garanti aux membres de la liste d'attente au lancement des offres payantes.
Start with Growly →