Kn
Knock-Knock v2 – Visualizing bot attacks in multi-protocol Technicolor
Hacker NewsKnock-Knock v2 – Visualizing bot attacks in multi-protocol Technicolor
Share cardActual performance
3points
3comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto69%69% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: visual · Missing: mac, agents, macos35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting24%24% 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, revenue22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Knock87%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Knock on your MacBook to control your Mac
Product Hunt+166Mac
Knock Knock61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A video chat doorbell for websites
Product Hunt+148SalesPJ
PJON network protocol specification v2.052%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PJON network protocol specification v2.0
Hacker News5Acts2Track14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Know the Story Before You Knock
Indie Hackerscommitment-side-project
Knock Knock59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
One AI sales brain. Website. Phones. CRM. All of it.
Product Hunt+14PJ
PJON network protocol stack specification v2.054%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PJON network protocol stack specification v2.0
Hacker News3Pb
Pbd – Protocol Buffers Disassembler40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pbd – Protocol Buffers Disassembler
Hacker News36Bl
Blink Protocol in Ruby38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Blink Protocol in Ruby
Hacker News1Ws
Wsrpc – Protocol buffer rpc over binary websockets30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Wsrpc – Protocol buffer rpc over binary websockets
Hacker News1Ra
Raft Distributed Consensus Protocol in Go50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Raft Distributed Consensus Protocol in Go
Hacker News2