Bl
Blabr – Embedding scientific computation in your site
Hacker NewsBlabr – Embedding scientific computation in your site
Share cardActual performance
6points
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto72%72% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Em
Embedding visualizations for bloggers and journalists – VizFiddle52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Embedding visualizations for bloggers and journalists – VizFiddle
Hacker News1Vi
Visualizing and Comparing Embedding Vectors as Heatmaps56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Visualizing and Comparing Embedding Vectors as Heatmaps
Hacker News3Im
Implementing Embedding Gemma in PyTorch28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Implementing Embedding Gemma in PyTorch
Hacker News3Em
EmbedFlow –> Upgrade embedding models without re-embedding your corpus56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
EmbedFlow –> Upgrade embedding models without re-embedding your corpus
Hacker News6I
I made a dataset for finetuning embedding models61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a dataset for finetuning embedding models
Hacker News1Storista81%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Service for embedding Instagram Stories into web-site
Indie Hackers2$90/mob2b
Quaere33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Embedding as a Service
Product Hunt+7Bi
Binarized Attributed Network Embedding (ICDM 2018)50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Binarized Attributed Network Embedding (ICDM 2018)
Hacker News3Wo
Word Embedding: remaked word2vec in golang31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Word Embedding: remaked word2vec in golang
Hacker News2ng
ngProgress - slim, site-wide progressbar for AngularJS, without jQuery47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ngProgress - slim, site-wide progressbar for AngularJS, without jQuery
Hacker News142