1byN
Indie HackersCurated stack of top twitter threads
We love reading Twitter threads. But there is no one by place we can find top threads by key influencers curated by topic in easily readable format without the noise of replies. To solve this itch of ours, we built 1byN.
Share cardActual performance
2followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting54%54% 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 NewsMay not resonate with HN audience · Missing: https docs, excited, just released47%47% 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, intuitive36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal22%22% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%16% 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, crypto14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Fi
Find and submit interesting Twitter threads42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find and submit interesting Twitter threads
Hacker News4Ta
Tackle Lengthy Twitter Threads with ThreadExpresso38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tackle Lengthy Twitter Threads with ThreadExpresso
Hacker News1Moneythreads.co52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Curated Money Twitter Threads into one spot
Indie Hackerscommitment-side-projectThreadzzz20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Curated Twitter threads sent to your inbox each week
Indie HackersThreadCache26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discover interesting Twitter threads
Indie Hackers1communityBu
Buzzways – Twitter Bot that sends you the best Twitter Threads34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Buzzways – Twitter Bot that sends you the best Twitter Threads
Hacker News2Bu
Buzzways – a Twitter Bot which sends you the best Twitter Threads34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Buzzways – a Twitter Bot which sends you the best Twitter Threads
Hacker News1Re
ReadThis2Me – Listen to Twitter Threads43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ReadThis2Me – Listen to Twitter Threads
Hacker News1Ya
Yarn – Better Twitter Threads on iOS44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Yarn – Better Twitter Threads on iOS
Hacker News1I
I made a site to find the best Twitter threads50%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 site to find the best Twitter threads
Hacker News1