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Built a tool that scrape leads, verify bulk emails and send mass emails

Hacker News

Built a tool that scrape leads, verify bulk emails and send mass emails

Leadkit is a suite of tools every marketer needs, everyone pays for a lot of different tools from scraping the leads to verifying them and then a whole different tool-set for sending mass email campaigns. Average setup costs $599-$899, where we are just charging $49 to start with. How we are different? We have created an all in one solution for every marketer, where we do handle all technicalities and you get ready to go tools. PROs, Get hundreds of thousands of leads of real people from different social media platforms. We don't need you to enter any of perosnal accounts details or setup anything from your end, everything is ready to go. Verify and cleanup thousands of your leads lists. Attach your own domains or use ours (pre warmed up email senders) to send mass marketing emails to leads. ..... & A lot more. CONs, Can see none.

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Actual performance

1points
1comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
86%86% 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 HuntUnlikely to reach the leaderboard · Strong signals: email · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
49%49% 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, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
33%33% 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, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real people · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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