Lately I've noticed most discussion around AI coding tools focuses on which assistant or terminal agent people use, but not much on the actual architecture decisions behind that, things like framework, hosting, database, and auth choices that affect cost and security down the line.

For context, my current default stack is Next.js on the frontend, Supabase for database and auth, Vercel for hosting, and Stripe for payments. I picked it mainly for speed of shipping and because it keeps infra costs predictable early on, but I'm not sure it's the best call for security or scaling past MVP stage.

A few things I'm curious about:

• Do you settle on a default stack before prompting your AI agent, or does the agent end up influencing your stack choice?

• What's been your biggest regret, cost, security, or scaling wise, with a stack you picked early on?

• Any stack you'd actively avoid for a new SaaS in 2026?

AI is a great, cheap foundation we can all agree on that (depending on token usage, of course).

When you re building your first product, and you re not sure if it will work and earn money, the obvious goal is to keep costs as low as possible and avoid burning money early on.

The funds will boost open-source / Postgres tools, grow the platform, and liquidity for the employees.

Two months ago, @Supabase announced 8,000,000 developers building with the platform. [1] They're now nearly 10 million, with databases launches growing by 600% over the past year.

Thanks to supabase I was able to get my project up and running in record time. I use oauth, edge functions, storage, database ofcourse, queues:pgmq and pgvector.

Please check out the project at https://github.com/vpuna/vpuna-a...

It's a semantic search platform for structured and unstructured data , with MCP support and more

I'll start.

Supabase. Found it here three years ago. Thought it was just another backend. Now I can't imagine building without it.

Here's what it does for us at Rankfender:

Auth that doesn't make you crazy. We have users across 120+ countries. Supabase handles sign-ups, logins, password resets, magic links, OAuth with Google and GitHub. It just works. We didn't have to build any of it.

No, we re not reevaluating our database, but since we launched Shoutouts, Supabase has been among the most shouted out products ever. If 2024 was the year of infra, @Supabase is at the forefront.
At the same time I ve been hearing more about @Neon (17 shoutouts including several top-5 apps, like @Central (YC S24) ).
I m curious: which did you choose (something else?) and why?

No, we re not reevaluating our database, but since we launched Shoutouts, Supabase has been among the most shouted out products ever. If 2024 was the year of infra, @Supabase is at the forefront.
At the same time I ve been hearing more about @Neon (17 shoutouts including several top-5 apps, like @Central (YC S24) ).
I m curious: which did you choose (something else?) and why?

I am a Computer Science student doing research into how solopreneurs and small startups create new apps and what their stack looks like. Particularly, I'm interested in how you handle things like authentication, billing, and permissions/authorization in your apps.

Let me know what you're working on below and how you're going about it -- I'd love to connect for some quick calls to learn about your product and talk about your process in building it!

Curious what the community is running for authentication/authorization in their apps (e.g. Auth0, Supabase Auth, Clerk, Firebase Auth, Cognito, etc.)

A few things I'd love to hear your take on:

• What provider are you using and what's your primary stack? (e.g. Next.js + Clerk, Go + Auth0, etc.)

• What's the one thing that surprised you , good or bad ?

• Would you make the same call today? Especially curious if you've hit scaling pain.

For context: I'm building a B2C application with my own database layer, and currently in the process of evaluating which authentication provider best fits the architecture. Trying to understand how others are handling the auth <> database relationship and what influenced your final decision.

There's never been a better time to build. AI tools, smaller teams, faster product cycles.

Last year, @Supabase surveyed over 2,000 startup founders and builders to uncover what's powering modern startups: tech stacks, GTM, and approach to AI.

Many things have changed since then, and they want to know what building at startups looks like in 2026.

hey everyone, i'm the ceo/cofounder of supabase

we're big fans of PH and the community here - you've been amazing at giving us feedback and helping us develop. I often describe ourselves as a "platform for builders". We're more popularly known as an open source firebase alternative

i'm here to answer any and gather product feedback. I'll be here for an hour or so then check in every few hours throughout the day

Supabase recently surveyed over 2,000 startup founders and builders to uncover what's powering modern startups: tech stacks, GTM, and approach to AI.

See full report here

I just started solo dev last year and have been trying to keep all early prototype projects low budget. I personally build in a serverless way on @AWS and pay only for what I use (<$1 per month). I'm curious what do you all use for low-budget development? Maybe I can find even cheaper build stack from you guys lol :)

So, quick confession. I'm a marketer by trade, not an engineer.

My coding knowledge is basically zero.

As we're wrapping up 2023, what were some of the best developer tools launched on Product Hunt this year in your opinion?
I had the opportunity to contribute to launching 20+ dev-first products this year, and some of my favorite, most inspiring launches include:

• AI SQL Editor by @Supabase - write SQL without knowing SQL

• @Appwrite Cloud Beta - open-source backend platform

• @Raycast Pro - a new level of productivity with AI, Cloud Sync, and more

• @Resend - build, test, and deliver transactional emails at scale

• @v0 by Vercel - generate UI with simple text prompts

Over to you! What are the best developer tools launched on Product Hunt in 2023 from your perspective?
If you enjoy this Discussion, please do repost it. For inspiration, more awesome dev-first product launches in this repository.

What are the best dev tools launched on Product Hunt this year from your perspective?
Some of my favorite, most inspiring launches until now:

• @Corbado - passkey-first authentication

• @Langfuse 2.0 - open-source LLM engineering platform

• @Liveblocks 2.0 - a complete toolkit to embed collaboration features fast

• @MotherDuck - simple analytics data warehouse

• @Supabase - open-source Firebase alternative

Over to you! What are your favorite developer tools in 2024?
If you enjoy this Discussion, repost it. For inspiration, more awesome dev-first product launches in this repository.

Happy Tuesday
What are the most well-designed open-source products from your point of view?
My favorites:

• @Supabase

• @Appwrite

• @Cal.com

• @Dub

• @Documenso

• @Hanko via @lxunos

Would love to have your suggestions
Thanks!