Lokal.so – Supercharged Ngrok Alternative

Hacker News

Good Morning hacker, My name is Rubi, After work for almost three month full-time, I finally release the beta version of Lokal Share your localhost with Public and https .local Address Debug What's Incoming, Replay without triggering real Webhook Develop further with AI Assistant help! competitor comparation: https://docs.google.com/spreadsheets/d/1BzvPRA2ZK5ekSaTV5vyr... 1. HTTP/TCP/UDP Tunneling (Primary feature) 2. .local Zero Config LAN-Wide Accessible address (Primary Feature) 3. Built-in AWS S3 Fake Server 4. Built-in File Server 5. HTTP Request & Response Inspection & Debugging 6. HTTP Replay & Custom Replay 7. JSON Toolkit related with HTTP Request & Response 8. AI Assistant to debug or ask question related with the request 9. Available as Desktop app, Web App, and REST API and *CLI 10. Automatic HTTPS for public url 11. HTTPS Support for .local domain 12. Windows, Mac and Linux, with Web, CLI and REST API Support some of the use case: 1. a team, or a person who struggle to connect between a phone and a computer, usually mobile developer, they could use the public url, or just the .local domain 2. a backend developer that want to debug incoming request from another team 3. a person who want to build home server with .local accessible domain 4. remote team who need to integrate their API's 5. a person that need to receive a request from a WebHook 6. a person who want to presenting the localhost to others Please leave a feedback, I really appreciate your feedback as I never had a single mentor while making this, Thankyou!

Visit product View on Hacker NewsJun 24, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, google, computer · Missing: agents, macos, agent

91%91% 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, 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

60%60% 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: host · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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.

Incorrect prediction on native model

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