CVETodo
Indie HackersMaking security vulnerability tracking simple and efficient.
CVETodo is a modern CVE (Common Vulnerabilities and Exposures) tracking and alerting platform designed to be fast and simple. I built it because it was a need I had and thoughts others probably had the same need.
Share cardActual performance
1followers
$1,000MRR/mo
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
AppSumoStrong fit for a featured deal · Strong signals: platform, efficient · Missing: plus, intuitive, reviews76%76% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Med AI34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making Medicines Simple for Everyone
Product Hunt+7Sp
SpliceOut, a Simple and Efficient Audio Augmentation Method41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SpliceOut, a Simple and Efficient Audio Augmentation Method
Hacker News1Si
SirixDB – versioning through efficient snapshotting58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SirixDB – versioning through efficient snapshotting
Hacker News55Se
SeqALib – Efficient Sequence Alignment from Bioinformatics42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SeqALib – Efficient Sequence Alignment from Bioinformatics
Hacker News1Il
Illustrating the Reformer: The Efficient Transformer57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Illustrating the Reformer: The Efficient Transformer
Hacker News4Mo
Mojo Implementation of HyperLogLog for Efficient Cardinality Estimation42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mojo Implementation of HyperLogLog for Efficient Cardinality Estimation
Hacker News1Equibot36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making Research on BSE & NSE Simple
Indie Hackers4aiMa
Making explainability algorithms more robust with GANs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making explainability algorithms more robust with GANs
Hacker News2Ma
Making your standups more joyful with Zest52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making your standups more joyful with Zest
Hacker News4Ma
Making of an HTML5 cube timelapse64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making of an HTML5 cube timelapse
Hacker News4