... technology stack I used so far. What has been your way, fellow hunters/vibecoders ? I have vibecoded a web development / CMS platform, an combined audio/video music player, a multi-tenant web app development and deployment platform, a Firebase/Neon multi-DB synchronizer/viewer, etc. and really enjoy the whole vibecoding process and creativity(!). I am sure there are other/better ways but what I have been using is good enough so far. What has been your way? :-) Thanks ...

... when moving from heavy server infrastructure to client-side WASM & edge computing. Here are 3 stack decisions that cut our dev cycles by 80%: 1 In-Browser WASM Databases (sql.js) : Storing vector embeddings in WASM SQLite eliminated external DB subscriptions, setup time, and gave sub-5ms queries. 2 Lightweight Edge APIs : Using serverless endpoints + fast LLM inference APIs (Nemotron / Gemini) instead of complex microservice boilerplate. 3 Automated CLI Verification : Running local standalone test runners to stress-test edge cases ...

... throw it away. Real example Ran it end-to-end on a billing bug: negative seat count slipping through and shrinking a customer's plan. It found the code path, drove the real handler, stubbed only the db as a passive recorder so the app's own logic decided the verdict. Confirmed the reproduction before trusting it. No hand-holding. Comment from Raj Nagulapalle(@rnagulapalle): @akbar_b  Both are exactly how I think about it. Right now a confirmed ... ... edge than timing, honestly. ..today the generator works from the code path + known failure classes, not your real data distributions .. it doesn't peek at samples. What it can do is reason about what the code assumes vs

... before my last two launches I wasted weeks building before checking who else was in the space. don t be me. here s the 30-min competitor check I do now, all free tools: 1. search PH archives (5 min) search your keywords on Product Hunt. sort by launch date. note how the top 5 positioned themselves the gaps in their taglines are your opening. 2. check who s actually alive (10 min) a launch from 2023 means nothing ... ... startup is dead. quick signals: are they hiring? shipped anything in the last 6 months? active changelog? I use exploreyc.com for this (free db

... know does this. We just accept it. So I wanted to ask the PH community: 1. What's the ONE utility tool tab you can never close? 2. Have you ever pasted something sensitive (JWT, API response, DB dump) into a random online tool and later thought "wait... where did that data just go?" 3. If you could merge 5 of these tools into one keyboard shortcut ( K style), which 5 would they be? Genuinely curious what your daily "utility ... ... even after obvious fields are removed. Maybe utility tools should include automatic redaction before processing pasted content. Comment from Abusaid islam said(@abusaid_islam_said): @joan_garcamo  Spot on, Joan! The amount of un-sanitized API logs and DB

... holds. that verification step was always on me. we just shipped something in FetchSandbox to close that loop. after it catches a bug, it now nudges the agent to rerun the same request and surface a behavioral comparison, before vs after. same scenario, does it pass clean? that receipt is now automatic. my rule: finding the bug is table stakes. proof that the behavior changed is the job. "i fixed the code" and "the fix works" are not the same ... ... failing run and the fix tend to change that state. So replaying the same request against the now-current world quietly takes a different branch and passes, without ever recreating the condition that broke it. That makes "before vs

... everyone else draws the line: - Which camp are you in, babysit or let it rip? - Do you have a rule for what an agent can do without asking? (read-only anything, run tests freely, but stop at deploys, rm, db writes?) - What is the worst thing you came back to that an agent did while you weren't looking? - And honestly, how do you tell "it's blocked" from "it's done" from "it's gone sideways" without staring ... ... Ghani(@aadilghani): @virko_kask   Agent-state instead of task-type as the urgency signal is better than what I had, and I think you just moved my whole priority model. Category decides if it may reach me, idle-vs

... built a built-in MCP Server that gives agents the "hands" they need. Now, a simple prompt like "build me a blog with MySQL and HTTPS" lets the agent call ServBay's tools directly to set up the DB, bind local domains, and configure SSL certificates in 30 seconds. Coming Soon: A Local-First AI Gateway (Sneak Peek!) As we talked to developers, a second major pain point emerged: API Key Chaos. Juggling different keys (Claude, OpenAI, Gemini) across multiple ...

... trying to do with my upcoming Chrome extension for LinkedIn. I don t know if it will take off, so I want to go with the most cost-efficient stack possible. Could you recommend the best low-cost alternatives for infrastructure and launching? Databases Payments/money management (I m currently considering Stripe) Analytics Hosting and domains? If there are other essential tools I m missing, feel free to add them. I m especially open to dev advice since my experience here ... ... also a good (and easy to set up) option. Payments : Dodo Payments Hosting : Vercel Analytics : Vercel has built-in analytics. LLM calls : Use cheaper models like Gemini for testing/experimentation or Groq also has generous limit Comment from Pranay(@pranay19): Db

... When it comes to AI Memory, everyone's arguing "RAG vs. grep" like it's a religious war. It's not. It's just a cost curve. I've gotten this question so many times that I thought I'd just share my thoughts. So here goes: Vector search wins when your corpus is massive, messy, and unstructured. Thousands of docs, no clean boundaries, meaning matters more than exact words. Filesystem plus grep wins when your corpus is structured ... ... exact direction we're building with AI Context Flow: markdown as the portable, ownable source of truth, with retrieval layered on top instead of replacing it. If your memory only exists as embeddings inside someone else's vector DB

... httpOnly trust cookie to skip the prompt. Purely Cryptographic ($0 API Costs): Instead of using expensive SMS gateways that drain resources, we implemented a custom TOTP engine (otplib + Prisma). Secrets are stored AES-256-GCM encrypted in our Postgres DB, alongside HMAC-hashed, single-use recovery codes. Next.js 16 Stack: The feature is fully built on Next.js 16 (App Router) and React 18. It utilizes temporary session IDs stashed in Redis during the 2FA challenge window to completely withhold Supabase ...

... guess which element on a busy screen I actually meant, and it edits the wrong one. Then I'm re-prompting, which is its own iteration tax. Curious how much of your rework is this specific thing versus raw model quality. And what's your fix, crop hard, or describe the element in text? Comment from Ross Hancher(@rosssaab): There is no cropping. It just zooms into the map perfectly. I downladed the entire sold property db

... hosting and DB Comment from Arun Sarma(@arun_sarma): How do you manage your customers? CRMs? Google Sheets? Notion? Comment from Aleksander Brousseau(@aleksander_brousseau): Gmail as an idea storage system is more relatable than people might think. I've tried dedicated note-taking apps, but sometimes sending yourself an email is still the fastest way to capture a thought. Comment from Ethan Cheng(@ethan_cheng): @busmark_w_nika  i read that motion is a good alternative

... Tricky Chats ( trickychats.life ) conversation practice for difficult situations TheNetworkerHub full-stack platform (near completion) MyWebStuff.co.uk sandbox for utility apps and proofs of concept What I bring to a team Rapid MVP prototyping and production deployment Full-stack execution: DB design backend frontend VPS/cloud deploy Senior architecture and code review (especially for AI-generated codebases) DevOps, GitHub workflows, and iterative shipping Skills / tags Python JavaScript Flask React SQL Server Oracle AWS Linux DevOps CI/CD Mobile (iOS) AI-assisted development MVP delivery ...

... Hello everyone. Welcome back to my siterows.com series. Quick reminder of what this app does: Allows you to scrape web content with SQL, like you would query a DB. Creating a FREE account unlocks automation features and higher usage limits. Today's question: "On the site, what is the whole deal with this Objects box?" The purpose of the objects box is to give it a SQL-like look and feel, and here is how it's structured: When ...

... Hello everyone. Welcome back to my siterows.com series. Quick reminder of what this app does: Allows you to scrape web content with SQL, like you would query a DB. Creating a FREE account unlocks automation features and higher usage limits. Today's question: "How can I extract some aggregated web content from a page, without any hassle? For example, count of links" Below is a simple Python example/response, and I'm also saving all examples in this GitHub repo: github.com/sgt-oz/SiteRows . As you can see, with SiteRows this is super easy. Think of the URL as your "DB

... Hello everyone. Welcome back to my siterows.com series. Quick reminder of what this app does: Allows you to scrape web content with SQL, like you would query a DB. Creating a FREE account unlocks automation features and higher usage limits. Today's question: "What if I'm using something like Selenium to navigate somewhere (perhaps logging into a site), and then I want to query the page?" In order to accommodate this, I just added the ability to pass ...

... world! I'm starting this series of examples/use-cases of siterows.com , the new app I recently built. Without further ado... Quick reminder of what this app does: Allows you to scrape web content with SQL, like you would query a DB. Creating a FREE account unlocks automation features and higher usage limits. Today's question: "How do I call the SiteRows API so I can automate web extraction tasks?" Below is a simple Python example/response, and I'm also saving ...

... Have you ever wondered: Why can't I query a web page like I can query a DB? That question led me to start building https://SiteRows.com The idea is to expose web content as queryable datasets, so you can do things like: URL : https://wikipedia.org SQL : select * from @a where text like '%English%' RESULT : A list of all links whose text contains "English" There is a front-end with a SQL-like object explorer, and there ...

... bare strings. E. Design System Semantic tokens only no hardcoded hex in JSX. Colors as HSL CSS variables in global stylesheet + Tailwind config. Shared canvas-based client-side image resize. Compositable animations; WCAG-compliant. F. Database / RLS Auto-generated DB types never edited by hand. Sensitive functions enforce strict auth.uid() checks. RLS uses the EXISTS pattern with correlated subqueries. Roles in a separate user_roles table via SECURITY DEFINER has_role() never on profiles. Validation triggers preferred over CHECK ... ... auth, storage, realtime). Saves are atomic; no partial writes or JSONB denormalization of FK data. Trigger collisions: Skip-on-Collision for non-canonical inserts. Nested aggregates use the RPC subquery pattern. Save flows use Double-Submit Guard for idempotency. DB

... massive datasets, they can be expensive, complex to query, and act as complete black boxes. If a search returns a weird chunk, diagnosing it is often a nightmare. Lately, I've been experimenting with a dead-simple alternative for smaller projects, and I'd love to know if anyone else is doing this: Dump raw data into a local folder. Use a strict markdown schema (like a CLAUDE.md or similar instruction file) to tell the LLM how to summarize ... ... builders and technical founders here: Are Vector databases actually a mechanical necessity for smaller, non-massive datasets? Or are we defaulting to them because it's the trendy stack right now? If you aren't using a Vector DB

... backed up. Not in our retention policy. It didn't ask permission. It didn't warn us. It just did what we asked: "clean up old data." We spent the next 2 hours backing-up and rolling-back a DB snapshot. Day 5: The paradox. We asked Claude to fix the backup issue. It wrote a beautiful automated backup script. Scheduled. Logged. Perfect. We asked it to add a new feature. It worked flawlessly. We asked it to review ... ... every line, just the risky stuff. New API integrations. Database changes. Anything touching billing. That's where the expensive mistakes live. The rest, we let it run and watch the logs. What's your threshold? What do you review vs

... thing I did differently was create a .md file which had every possible rule that my app may come across and what to do in that case for example: - client should not directly interact with the DB - all the secrets should be masked server side and no direct client interaction etc.. Adding this .md file globally to my agent context everytime - I gave it a prompt saved me sooo much of effort refixing the same code again ... ... your coding agent to follow while building your app. Plus saved me so many threats like vulnerabilities, data leaks and prompt injection Hope this helps! Here is my current vibe-coding stack: - Cursor (for coding) - Supabase (for DB

... revenue leaks, and find expansion revenue. Instead of digging through dashboards, exporting CSVs, or stitching together multiple tools, Banyan unifies your data, analyzes it and surfaces the signals that actually matter. You connect your stack (CRM, billing, support, product DB) and Banyan automatically identifies: customers drifting toward churn hidden revenue leaks accounts ready for expansion The idea is simple: understand what s happening with your revenue in minutes instead of hours. Time from onboarding to value = 2 3 mins ...

... project: experiment with the best possible setup and bring it to a platform anyone can actually use. That meant building a custom agent from scratch and developing infrastructure that handles the things AI typically gets stuck on like backend, DB, auth, and key integrations. Subterranean is the product of trying to achieve our optimized setup and making it available on the web, making it easy to use the best workflows by just signing up and typing in that first prompt ...