I created a SaaS tool for helping businesses, it's called Gapsly

Hacker News

Hi, I recently launched Gapsly, a SaaS tool aimed at helping businesses identify and bridge operational gaps in their processes and increase their efficiency in their processes. After months of hard work, it’s live and (mostly) bug-free, but here's the thing: I’m having a tough time attracting traffic and converting visitors into customers. Struggling at the moment with backlinks too. I’ve tried: - SEO and optimizing the landing page - Posting in forums and relevant communities - Going over the backlinks directories and posting it there in the hope of a higher DA (but that might come in time) Despite these efforts, user engagement and conversions are still really low. I’d love to hear from anyone who has faced (and hopefully overcome) similar issues. Any strategies, marketing channels, or growth hacks you’d recommend? If you’ve done a SaaS launch, what worked for you? Open to any constructive feedback on the site, messaging, or general approach! Find the tool here: https://gapsly.com Thanks in advance for your help, Nicolae

Visit product View on Hacker NewsNov 13, 2024

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

89%89% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, open · Missing: mac, agents, macos

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas, growth · 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 · 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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