Track live mentions of any keyword on any forum + Twitter

Hacker News

Hey HN! My name's Josh and I'm the sole founder of ForumScout. I had the idea for this project about 3 months ago, and I've been building it ever since. ForumScout notifies you whenever your chosen keyword(s) are mentioned on ANY forum or Twitter thread. For example, let's say you own a SaaS that generates AI headshots. You could get notified when someone mentions "AI headshot", and offer them a free trial of your service. There are many ways I believe a tool like this can be useful, but a few of the obvious ones are: - Respond to mentions of your brand/website in real time. - Find people who mention keywords related to your niche, and engage with potential customers. - Monitor mentions of your competition, and pick the right moments to offer your alternative. - Get creative. You can track live mentions of literally anything, anywhere on the internet. When new posts are found, they will be added to the feed in your dashboard. Email notifications are optional, but will help you engage much faster. Data is pulled from various different real-time Forum APIs, as well as a few native platform APIs, like Reddit. I also built a free search engine so you can search for past mentions if you don't need live ones: https://forumscout.app/search The search engine works differently from the live service, so it might miss quite a few posts - the live service doesn't miss any. Right now, there's a 2 week free trial that lets you setup 5 of these automations for free. If you'd like a longer trial period, please email me at josh@forumscout.app and I'd be more than happy to extend it for you in return for your feedback:) If it sounds like something you're interested in, I'd be extremely grateful to hear your thoughts. I'm considering adding new features and looking for direction.

Visit product View on Hacker NewsJul 23, 2024

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

94%94% 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: new, email, apis · Missing: mac, agents, macos

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · 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 · Strong signals: real time · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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