After months of building, Sour Mango is officially available to download. It's an all-in-one travel companion built for digital nomads and remote workers.

What it does:

• AI-powered travel assistant that knows visa rules, costs, and local tips

• Discover destinations with real data Wi-Fi speeds, cost of living, safety scores

• Community recommendations find the best cafes, coworking spaces, and restaurants from fellow nomads

• Speed test mapping contribute and check Wi-Fi quality worldwide

• Travel history and achievements track your journey across cities and countries

• Flight prices and visa requirements based on your passport and location

I used to have everything blocked. Deep work 9 11. Admin 2 3. The whole calendar looked like a disco.

And I'd spend 20 minutes every morning moving the blocks around because the day never actually went to plan.

I ve been thinking a lot lately about how our workflow as developers has completely shifted. We are moving towards "vibecoding" using tools like Cursor, Copilot, or Claude to handle the syntax while we focus on the high-level architecture and logic.

However, we all know that AI often introduces vulnerabilities into our code, such as SQL injections, API key leaks, and logic flaws.

I'm thinking of developing a platform that scans your code with high precision to detect these vulnerabilities. The idea is simple: when the platform finds a flaw, it notifies you and provides a solution or a context-aware prompt that you can simply copy and paste to solve the issue instantly.

The short version: the average agency pays $231 312/month for a "connected" stack that breaks every time one API updates. We break down the 5 technical reasons Zapier automations fail and show what a natively unified workspace looks like under the hood.

Full post kobin.team/blog/zapier-slack-asana-notion-alternative

If you've ever gotten a "Your Zap is off" email during a client deadline, this is for you.

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Hey everyone!

We launched recently and got some amazing feedback from this community and over on Reddit. Rather than just say thanks, we wanted to share what we learned and ask for your continued input.

Key feedback we're acting on:

• Speed & accuracy Users love how quickly Namegator finds available domains and alternatives. The real-time availability checker saves them hours compared to checking registrars one by one.

• Creative suggestions People appreciate that the tool doesn't just tell you if a name is taken it generates smart alternatives and variations. Several users mentioned this helped them land better domain names than their original ideas.

• Integration with registrars The most requested feature? One-click buying directly from Namegator or seamless checkout flow. We're working on streamlining this based on your feedback.

I just released my OSS app, this is a PGP workstation with simple and intuitive interface to operate with encrypt/sign/decrypt/verify workflow under PGP keys.

Quick question for the marketers and analytics folks here: How much time are you actually spending getting data into something you can present or share? And does it ever feel like most analytics tools are built for data people, leaving everyone else to figure things out themselves?

We noticed that the process is still surprisingly painful and manual. So we built Crunchy. Drop in your data, get back editable dashboards and insights without the SQL, the setup or the cleaning up charts in PPT at midnight.

We're running our closed beta now and launching on PH mid April, would love to connect with anyone who wishes their analytics tools were just a bit simpler.

Hi , this is my first product hunt launch, it's exciting - I'm also nervous.

Would appreciate support and love to hear feedback!

I built AiVIS because i got really tired of watching sites rank on Google and still disappear when answers get assembled by ai

that gap is real and most people still are not measuring it properly

AiVIS audits or deeply analyzes whether a site can actually be read trusted and cited by answer engines. not just whether it ranks, not another SEO tool with an Ai badge. Its not just whether it looks good to us as humans but

it shows where structure, trust signals, metadata, schema and content clarity break down then the system ties it back to evidence on the page, not Ai. The LLMS are used for reading content then interpreting the evidence backed results and writing the unbiased/unfluffed summaries. BRAG - Based Retrieval Audit Grading is our unique evidence ledger mechanism.