A few weeks ago, Swytchcode launched on Product Hunt and became the #1 Product of the Day.
The launch was exciting, but what happened after has been even more interesting. As we close out the year, here's a quick and honest update on what post-launch life looks like for us and where we're headed next.
GitHub recently published this year's Octoverse, the state of the open-source ecosystem.
Below are my key takeaways:
AI doesn t replace developers it brings more people into the ecosystem. A new developer joined GitHub every second in 2025. Top 5 developer populations: 1. United States, 2. India, 3. China, 4. Brazil, 5. United Kingdom.
Open source remains the foundation. Fastest-growing OSS projects by contributors include @Zen Browser, @VS Code, and AI-focused @Continue.
TypeScript is now the most used language on GitHub, overtook both Python and JavaScript. The AI effect? 80% of new repositories used just six languages: Python, JavaScript, TypeScript, Java, C++, and C#.
Gen AI is now standard in development. 1.1M public repositories now use an LLM SDK.
Agents are here. Coding agents created 1M+ pull requests (PR) in the last 6 months, and it's just getting started.
Last night I opened LinkedIn for a moment, and at that moment, someone wrote to me who is going to relaunch a product after a year and a half. (Yes, I do not have anything to work on Friday night, don't blame me, I do not have a social life) :D
Needless to say, a lot has changed on this platform in a year.
This summer, we made a bold decision to launch on Product Hunt. The problem? We had zero idea how to actually do it.
Well, almost zero. Our CTO @mokosiy was a massive Product Hunt fan, and his enthusiasm was our only compass. He armed us with the right stack: Cursor for code, PostHog for analytics, latest .NET and Avalonia to build the gorgeous app.
The Reality Check By August, the "Launching Soon" label we were banking on had vanished. We were flying blind. That's when the real work began. I didn't just read the guidelines; I followed them to the letter. We had to change the date of the Product Hunt launch five times. We realized that we weren't ready.
A year ago, an AI/LLM Gateway felt like a thin layer: auth + simple routing across a few model providers. That era s over. As teams ship agentic apps with many moving parts (models, tools via MCP, prompts, guardrails) the complex problems are now control, standardization, and observability.
Yesterday was a wild ride for us. Swytchcode ended up winning #1 Product of the Day on 16th Nov 2025, finishing with exactly 400 votes, something we genuinely didn t expect. We went in thinking the top product would land around 250 300 votes (on a Sunday) but three products crossed 300, and somehow we climbed all the way to the top.
First of all a huge thank you to everyone who supported our new Emma launch on 11.11.
Because of you, we hit Top 3 Product of the Day with our biggest update ever. Your support truly means the world to us. Many of you also supported our original Sugar Free: Food Scanner last year and helped us reach #4 Product of the Year. You ve been with us from the start and you re the reason this project keeps moving forward. As some of you know, I ve personally been avoiding added sugar for 8+ years. At some point, I got so obsessed with finding every hidden form of sugar that I ended up infecting my friends with this mission too and together we built a tiny prototype to detect hidden sugars. That little idea has now grown into something much bigger. Over the year, the scanner has grown into Emma an AI Nutrition Intelligence that that understands food globally. It reads any labels in any language and finds hidden sugar, E-codes, bad additives, toxins and allergens. It s like ChatGPT, but about food and health. Unlike typical food apps, Emma doesn t rely on static databases. If a product exists online anywhere in the world, Emma can:
find it translate it rebuild its ingredient list detect hidden sugars, additives, toxins, allergens and give a clear, simple verdict: Eat or Avoid Emma runs on our proprietary AI model, trained on real scientific datasets (FDA, EFSA, WHO, etc). No myths just evidence-based clarity. What Emma can do: Scan any food label in any language; Detect every form of hidden sugar (even behind 200+ names); Spot harmful additives, E-numbers, INS codes, allergens; Flag 500+ potential health risks; Science-based food rating (1 10); Plain-language Eat or Avoid guidance; Full ingredient breakdown; Built-in AI Nutritionist ask anything about food & health. Even your grandma could use it and she probably should How it works:
1. Scan a barcode or snap a photo of the label 2. Emma analyzes, translates, and scores the product 3. Ask Emma for recommendations, recipes, or nutrition advice Just clear, stress-free food choices. Special for the Product Hunt community: As a thank-you to everyone here, we re giving 3 months of full access to our first 5,000 PH users this week. Promo code: PH11EMMA (or tap PH supporter inside the app). If Sugar Free wasn t available in your country before Emma is now! We d love for you to try Emma, explore the new features, and share your thoughts.
According to the 2025 @Stack Overflow Developer Survey (49,000+ participants), @VS Code and @Visual Studio remain the most used dev environments, despite the rise of subscription-based, AI-enabled code editors @Cursor and @Windsurf among others. Both maintain their top spots relying on extensions as optional, paid AI services like @Github Copilot and @Kilo Code.
Curious which IDE the Product Hunt community uses the most?
am happily married to my lovely wife and a proud dad (to our cat and dog)
work at a cloud company in b2b sales
have a passion for endurance sports and snowboarding. i am also learning to golf and fish, haven't tried them together yet though.
found daily journaling too guilt inducing and couldnt find a free unlimited, minimalist habit tracker on iOS; so i built a journal/habit tracking app I plan to launch on PH next year
I've always liked to build things, whether it was messing around with early web projects or getting really into APIs and developer tools. I've worked on many different parts of the tech stack over the years, including backend engineering, cloud infrastructure, and more recently, a lot of AI testing.