Shortgram

Shortgram

TrustMRR

I wanted to scale my YouTube channel… But every video meant: ∙ Figure out what to post ∙ Write the script ∙ Record a voiceover ∙ Edit the footage ∙ Add captions ∙ Upload. Manually. One by one. Multipl

I wanted to scale my YouTube channel… But every video meant: ∙ Figure out what to post ∙ Write the script ∙ Record a voiceover ∙ Edit the footage ∙ Add captions ∙ Upload. Manually. One by one. Multiply that by 10 videos a week. Per channel. I built ShortGram to make it one prompt. Tell it your niche → it builds your content plan, writes the scripts, generates visuals, adds voice & captions, and publishes automatically. Tons of Shorts/month. Zero editing. Zero scripting. Zero record

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating5

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: visual · Missing: mac, agents, macos
68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video, month · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
30%30% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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