Roast Our Twitter CRM and DM Management App

Hacker News

Hi, We're giving away free beta tester accounts for our Twitter CRM/DM management app. We're building it to help fellow bootstrapped founders find their first customers on Twitter. Would appreciate you test driving it and let us know if it's useful for you? All we need are your feedback about the app to help us make it better... Here's a link to sign up for the beta: https://www.firstx.ai/private-beta A little more about why we built this: We know if you're actively networking with a lot of people on Twitter to promote your business or project, your inbox can get confusing pretty quick. So we built FirstX. It's designed to help you segment who to follow up with, when to follow up, who said they were interested, or needed a link from you or whatever... We built one dashboard, where you can find Twitter users to connect with using hashtags, keywords or URLs, and you can send, and group your Twitter DMs without losing track of your contacts... And also, we've managed to build a small waitlist of 200+ people using just Twitter outreach. But here's the thing... when we launched our ads on Twitter, we got only less than 10 conversions from over 80k visits! We're still trying to figure out why it seemed nobody was interested. Let us know if you find anything? Again, here's the link to our private beta - and please don't hold back! https://www.firstx.ai/private-beta

Visit product View on Hacker NewsJun 7, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, inbox, using · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal

36%36% 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

34%34% 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 · Strong signals: users · Missing: plus, platform, intuitive

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: bootstrapped, active · Missing: arr, mrr, revenue

19%19% 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, 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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