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Ngrok Alternative Without Subscription

Hacker News

Ngrok Alternative Without Subscription

Just seven months ago, I posted the LocalCan app here, which got a lot of comments and attention. Its focus was solely on local development. This tiny app allowed to publish .local domains on the local network, with automatic HTTPS. See the original post here: https://news.ycombinator.com/item?id=36954998 Fast forward to today, the app has pivoted to become the Ngrok alternative without subscription, featuring a completely new infrastructure for creating and managing Public URLs (SSH tunnels) in various forms. What it allows now: - Create Public URLs on *.localcan.dev or Cloudflare - Use your custom domains - Inspect traffic, replay request, test webhooks, OAuth and more. - Local domains (.local) are still available for convenience See how it compares with ngrok: https://www.localcan.com/ngrok-alternative Would love to hear your feedback about what more would you like to see in the app ;)

Visit productView on Hacker NewsMar 26, 2024
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
79%79% 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, grok, tiny · Missing: mac, agents, macos
72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
71%71% 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 · Missing: plus, platform, intuitive
45%45% 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
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
21%21% 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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