Scenetra

Scenetra

TrustMRR

Scenetra is price aggregator for generative AI: we compare every provider selling a given model and route each request to the cheapest one that supports your settings, billed at provider cost with no

Scenetra is price aggregator for generative AI: we compare every provider selling a given model and route each request to the cheapest one that supports your settings, billed at provider cost with no markup. All the popular image and video models behind one API key and one endpoint. You can also use them over MCP from Claude and Cursor, and in the visual node editor.

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Actual performance

64customers
$1,210MRR/mo
Made the leaderboard

Traction signals

Domain Rating1
MRR growth 30d+18.6%

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, claude, model · Missing: mac, agents, macos
82%82% 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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal
60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
36%36% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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