I
I built a tool that automates cold DMs on Twitter
Hacker NewsI built a tool that automates cold DMs on Twitter
I used to hire a VA to do 100 cold DMs daily Then I saw I can build a tool for it, and do 500 cold DMs daily on Twitter DMpro helps you scrape leads, and then run automated campaigns. I launched a $299 lifetime access - then you can have 500 cold DMs every single day, for lifetime
Share cardActual performance
1points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: single · Missing: mac, agents, macos56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: lifetime access · Missing: plus, platform, intuitive53%53% 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, personal42%42% 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 released37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue27%27% 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, crypto5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
I
I built in public a tool to automate Twitter DMs53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built in public a tool to automate Twitter DMs
Hacker News4Ho
How and when to use Twitter DMs as your database61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How and when to use Twitter DMs as your database
Hacker News4Hummin40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Twitter tool
Indie HackersI
I built a tool to gamify Twitter growth20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built a tool to gamify Twitter growth
Hacker News1
TweetAttacksPro- Twitter Automation Tool12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Automates engagements, follows, tweets, retweets on Twitter
Product Hunt+9I
I built an app that automates timeboxing58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built an app that automates timeboxing
Hacker News7Bu
Built a Chrome Extension to Organize X (Twitter) DMs37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Built a Chrome Extension to Organize X (Twitter) DMs
Hacker News5X
X DMs suck so we built a better one68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
X DMs suck so we built a better one
Hacker News3In
Inboxs – Twitter DMs Inbox for Professionals28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Inboxs – Twitter DMs Inbox for Professionals
Hacker News2PipeSocial (dead)30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Organize your Twitter Dms
Indie Hackers1productivity