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In 2024 I took over a vet telehealth app. The previous developer was gone, nothing was in version control, and it had never made it to production.
My first instinct was to start fixing bugs. Glad I didn't. I spent the first days getting it into GitHub, setting up Docker so local dev actually worked, and wiring GitHub Actions to deploy to the server. Boring work, but after that every fix could actually ship.
Then came the real features: scheduling, Stripe, Zoom calls etc.
Lesson I keep relearning: on a stuck project, get a reliable way to ship first. Nothing fancy here, just a plain nginx server and an automated deploy. The point is that every fix goes out the same way.
getting it into git and Docker before touching any bugs is the move, respect
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Built an AI-powered Social Media Post Analyzer that analyzes social media content and generates structured insights using LLMs.
The application uses LangChain and Pydantic to process the input and return structured results through an interactive Streamlit interface.
Built with: Python, LangChain, Pydantic, Hugging Face, Streamlit, and LangSmith.
Pydantic catches shape errors, but a plausible wrong insight can still pass. I'd keep a small set of posts with expected labels in LangSmith and rerun it after prompt changes. Are you tracking that kind of drift?
What actually shipped across every client this quarter:
Live chat systems, shipping automations, meeting note pipelines, churn prevention flows, health monitoring, and personalized email different businesses, same underlying principle: automate the repetitive part, keep a human on anything that needs judgment.
→ Happy to walk through any of these in more detail.
The meeting note pipeline that auto generates summaries really cuts down on manual typing.
Just published the full case study for TYKHO Care — my #lovablechallenge entry 💙
A booking app for a hairdresser whose clients are kids who find salons hard: five calm questions decide the right kind of visit, only the times that fit are shown, and a cancelled slot goes to the best-fit family on the waitlist — without the stylist sending a single message.
Inside: the client brief, the matching logic, the design system, and the buttons I caught only pretending to work — and how I made them real. Plus a full walkthrough video.
If you like it, I'd really appreciate your vote on the submission 🙏
Try it (no login): tykhocare.com
@Lovable @Contra
Solving a real problem for both parents and the stylist is top work⭐️
