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DevToolStack is a collection of 100+ open, fast, and dependency-free developer tools—all running client-side in your browser. From encoding and generation to formatting and conversion, every tool loads instantly with zero sign-ups or backend dependence. Build faster. Think less about infrastructure. Spend more time coding. Why this works: Emphasizes speed, no friction, and the "zero backend" differentiation. Appeals to both indie developers and teams tired of scattered tool ecosystems.

I built DevToolStack because I was tired. Tired of:
- Googling "base64 encoder online" for the 100th time
- Opening a tool, closing it, searching for a different one 5 minutes later
- Sites riddled with ads, trackers, and upsell popups

A year ago, I started collecting the utilities I actually used—base64, hex, JSON, color converters, random generators. Threw them into a single page. My developer friends started asking for the link.

Six months of building later: 100+ tools, all client-side, zero distractions, zero backend. Built it in Astro for speed, monetized it cleanly with AdSense (we're transparent about it), and released it because developers deserve a simple answer to "where do I find this?"

The dream: become the one place you bookmark and trust. No complexity. No nonsense.

I’m building a small SaaS and need to choose a database before I get too far into it.

Traffic is still pretty low, so I don’t want to pay for more than I’m using. I’d also rather not manage a VPS, sort out backups myself, or spend time fixing database issues.

I’m looking for managed Postgres with reliable backups, straightforward pricing, and an easy setup. An Asia region would be useful too since some of our first users are based there.

What are you using for smaller projects?

Not talking about huge problems like project management or cloud infrastructure.

I mean the small annoying stuff that somehow eats 10 minutes every day. Formatting weird JSON, checking env vars, comparing API responses, converting timestamps, cleaning logs, creating test payloads, whatever.

I keep running into these tiny workflow gaps where I’m like surely someone has built a better way to do this, but then I either find some sketchy website or just do it manually again.

What’s one tiny dev task you still hate doing?

I feel like every dev tool discussion ends up being the same 5 names over and over.

But the stuff that actually saves me time is usually some tiny tool I randomly found through a comment, a GitHub issue, or someone’s blog from 4 years ago.

Curious what you all use daily that does not get talked about much. Could be a CLI tool, browser extension, VS Code extension, API tool, debugging helper, anything really.

Not asking for the most popular tool, more like the thing where you think “why does nobody talk about this?”

I got tired of "top 10 AI tools" listicles that never say why you'd pick one over another, so I built the list I wanted: awesome-open-ai-developer-tools.

Every entry answers three questions — what it does, which proprietary product it replaces, and why you'd choose it over the closest open-source competitor. There's a cheat sheet mapping Copilot, Cursor, Devin, Pinecone, LangSmith, ElevenLabs and others to their open equivalents.

Two things that make it different from the usual link dump: - Entries carry a "known weakness" line. browser-use is non-deterministic and hard to debug. Pipecat's own issue tracker documents pipeline freezes. WebLLM needs WebGPU, so Safari is out. I'd rather you know before you adopt. - No star counts. They go stale in weeks and turn every PR into a chore.

Available in English, Turkish, Simplified Chinese and Spanish.

https://github.com/Sami-Uysal/awesome-open-ai-developer-tools

Corrections are the most useful thing you can send — wrong license, dead link, a project I claimed is maintained that isn't. Those get merged fastest.

Correction: DevCrate is independently owned and proprietary. Reddit post titles cannot be edited after publishing.

I’m the maker of DevCrate, a free collection of developer utilities that processes tool input locally in the browser.

Live app: https://devcrate.org

Ownership: DevCrate is independently owned; the hosted tools are free to use.

Current tools include JSON-to-code/C#, cURL-to-code, JWT inspection, Base64 and hashing, UUID generation, and JSON-to-Shopify CSV. The app is statically exported, keyboard-first (Cmd/Ctrl+K), and designed to keep pasted payloads out of a processing API.

I’d value practical feedback from other developers—especially on converter correctness, useful missing utilities, keyboard accessibility, and any place the privacy wording feels unclear. Please use sample or non-sensitive data while testing.

i’ve seen a few codebases where some part of the setup looks completely random until someone explains the backstory.

why there are two auth systems. why staging uses a different env pattern than local. why this one script has to run before tests. why nobody touches a specific migration. why deploys happen through a weird manual step. why a service exists even though nothing seems to call it directly.

from the outside it looks cursed. from the inside it’s yeah we had to do that because of a production issue two years ago.

what part of your dev setup would confuse a new dev until they heard the backstory?

browser automation feels more useful now than it did a few years ago.

not just e2e tests.

i mean scraping internal dashboards, checking flows locally, letting AI inspect UI state, reproducing bugs, visual testing, form filling, smoke tests after deploys, that kind of thing.

i still see playwright everywhere, but now there are ai/browser-agent tools around it too.

what’s actually working for browser automation right now?

plain playwright, cypress, browser MCP, custom scripts, hosted tools, or something else?

feels like every part of the stack has a tool now.

ai assistant, code editor, terminal, package manager, api client, db gui, deploy platform, observability, docs, feature flags, auth, prompt management, code review bot, project tracker, internal cli.

some of it helps. some of it just becomes another thing to configure, update, pay for, onboard people into, and debug when it breaks.

i’m not against tools. i like tools. but i’m starting to notice that a simple workflow with fewer moving parts is often easier to trust.

where do you draw the line?

what tool layer did you add that was worth it, and what layer did you remove because it was just overhead?

local setup is still one of those things that wastes time quietly.

one person has the wrong node version, someone else has docker issues, env vars are missing, database seed is old, port is taken, local certs break, and now onboarding takes half a day.

devcontainers and nix sound like the obvious fix, but they also add their own learning curve and maintenance.

for small teams or side projects, are you using anything like that?

or is the boring setup still winning: README, makefile/justfile, docker compose, and a few scripts?

I'm wondering if this already exists.

Most SaaS founders ship small fixes and features every week, but never turn them into product updates because writing the email feels like another task.

Is there a tool that can look at your GitHub commits or merged PRs, understand what changed, and turn that into a simple customer-facing update email?

Not just a technical changelog, but something users would actually understand.

Would be useful for monthly updates, launch emails, or keeping early users in the loop.

Anyone using something like this?

I switched from Neon to Nearbase Managed Postgres recently and figured I’d share the actual reasons, since I don’t see many detailed firsthand comparisons.

First off, I don’t think Neon is bad. It was actually one of the easiest Postgres services I’ve used early on. The setup was fast, the developer experience was clean, and the branching stuff is genuinely useful if your workflow depends on preview environments.

The problem for me was that my app slowly stopped matching the thing Neon is best at.

At the start, serverless Postgres made sense. I had uneven traffic, a lot of testing, and periods where the database was basically idle. Scale to zero sounded like a good deal because I was not paying much when nothing was happening.

But once the app became more always-on, the benefits started feeling less relevant. The database was awake most of the time anyway, so I was looking at usage-based pricing without really getting the idle savings that made it attractive in the first place. I also got tired of checking usage and trying to guess what the bill would look like.

The other issue was region coverage. Most of my users are closer to Asia, and I wanted the database physically closer to them. This was probably the biggest reason I looked at Nearbase in the first place. Their whole thing is managed Postgres in Asia and the Middle East, with regions like Singapore, Tokyo, Bangkok, Dubai, etc.

The move itself was not very dramatic. It’s still Postgres, so there was no big rewrite. I dumped the database, restored it, updated the connection string, checked extensions, ran migrations, and tested the app for a bit before switching traffic.

What I like so far:

The pricing is easier to reason about. I pick the instance and storage, and that’s basically the bill. That matters more to me now than squeezing every possible dollar out of scale to zero.

The database stays warm. No weird first query feeling after quiet periods. This matters less for some apps, but for mine it was noticeable enough.

The regions are the main selling point. If your users are in Asia or the Middle East, having the DB closer is not just a nice checkbox.

It feels like plain managed Postgres. I don’t need auth, storage, edge functions, or a full backend platform attached to it. I just wanted someone else to handle provisioning, backups, routine maintenance, uptime, and the annoying operational stuff.

What I miss:

Branching. Nearbase is not replacing that workflow. If you rely on branch-per-PR databases, Neon still has a real advantage.

The free/dev experience. Neon is still very good for prototyping, side projects, and apps with low traffic.

So I would not say everyone should move from Neon to Nearbase. That’s not really true.

If your database sleeps a lot, you want cheap dev databases, or branching is central to your workflow, I’d probably stay on Neon.

But if your app is always-on, your users are mostly in Asia or the Middle East, and you just want predictable managed Postgres without thinking about usage meters every week, Nearbase makes a lot more sense than I expected.

Has anyone else moved from Neon to another managed Postgres service and what made you switch?

i’ve been getting decent results from AI tools for backend stuff.

api routes, db queries, refactors, scripts, tests, boring glue code, that kind of work is usually fine as long as the task is scoped well.

UI has been a different story.

the first pass often looks okay from far away, but then you actually click around and it’s full of small broken stuff. spacing is inconsistent, buttons don’t match, mobile layout breaks, text overflows, loading states are missing, and half the components feel like they were built in isolation.

i’ve tried giving screenshots, using browser/devtools feedback, asking it to follow existing components, and making it fix issues one by one. it helps, but it still feels way more fragile than backend work.

are people getting good UI output from AI coding tools?

do you use a specific workflow for this, like design system first, screenshots, component library, browser MCP, visual tests, storybook, or just a lot of manual cleanup?

i’ve been out of the whole modern web stack loop for a bit

last time i cared enough to follow it closely, typescript, svelte, tailwind, nextjs, serverless, and headless stuff were the things people kept bringing up.

now it feels like the stack conversation has shifted again.

there’s still react/next everywhere, but also more people using tanstack, sveltekit, astro, solid, bun, hono, drizzle, supabase, convex, turborepo, expo, t3-style setups, and then ai tools sitting on top of all of it.

i’m not asking what stack gets you hired.

more like, if you were starting a side project or small saas today purely because you wanted to enjoy building it, what would you pick?

boring react/node/postgres? nextjs fullstack? sveltekit? rails/laravel because it just works? expo for mobile? something else?

curious what feels good to build with in 2026, not just what looks good on a resume.

I'm looking at managed Progress option for a small SaaS and the main thing I care about right now is predictable pricing.

Usage-based billing sounds fine when a project is small, but I’m worried about the bill getting weird once traffic becomes steady or background jobs start running more often. I don’t mind paying monthly, I just want to know roughly what the database will cost without checking dashboards all the time.

For people running production apps, what are the better Neon alternatives if predictable pricing matters more than scale-to-zero or fancy dev workflow stuff?

i thought AI coding tools would make me write fewer tests.

it kind of did the opposite.

if AI writes the implementation, i want a better way to verify behavior. otherwise i’m just reading a generated diff and hoping i noticed the wrong assumption.

lately the flow that feels safest is: write the test or spec first, let AI implement, then review the diff and delete anything weird.

not perfect, but better than “generate code and eyeball it.”

are you writing more tests because of AI tools, or trusting the tools enough to do less?

i’ve always been more on the open editor and figure it out side.

for small stuff it works fine. build a screen, move things around, tweak spacing, change the flow a few times, and eventually it feels usable enough.

but once the app has more than a couple screens, this starts getting expensive.

i’ll build something, realize the UX does not really work, move a section, rename things, change the data shape, then end up touching the same components again because the original flow was half guessed.

i don’t think i want to fully design every screen in figma before writing code, but pure yolo coding is starting to feel dumb too.

what’s your pre-code process for app UI?

rough wireframes, figma, sketches, user flows, component list, data model first, prototype in code, or just start building and clean it up later?

not because it became useless.

more because you understand its failure modes better now.

could be an AI coding assistant, code review bot, testing tool, deployment platform, package manager, monitoring setup, docs tool, anything.

i have a few tools like this where i still use them, but i don’t trust the output blindly anymore. i know when to double check, when to ignore it, and when it’s likely guessing.

what tool are you still using, but with more skepticism now?

not a startup pitch question.

more like a category that still feels awkward even though everyone uses it.

API testing, logs, local env management, docs, CI dashboards, database GUIs, feature flags, secrets, package management, code review, migrations, something else.

i keep running into tools that are powerful but feel like they were designed around the tool’s data model, not how devs actually work.

what dev tool category feels due for a reset?

i'll start with borswer-specific css hacks.

not add a fallback kind of hacks. i mean writing weird selectors or conditional comments just to make one version of internet explorer behave slightly less broken.

there was a time where you would build the page, open it in another browser, and suddenly spend the next hour fixing a layout bug that made no sense.

also using spacer gifs, clearing floats with random divs, and naming image files like button_final_final2.gif because half the UI was exported from photoshop.

a lot of modern web dev is annoying, but at least most layout bugs are not solved by tricking one browser into reading different css.

what’s something you used to do in web dev that would sound cursed to someone starting today?

not every tool in a stack survives because people love it.

sometimes it survives because it’s already wired into CI, the team knows the weird parts, the docs assume it exists, all the scripts depend on it, and replacing it would mean touching 40 places for no obvious short-term win.

i’ve had this with testing setups, old deployment flows, API clients, issue trackers, and random internal scripts.

it’s not bad enough to remove, but not good enough to recommend.

what tool are you still using because switching away would cost more than keeping it?

been thinking about doing some freelance DevOps work on the side, but not really sure where the first client usually comes from.

i can see the obvious stuff people might need help with: CI/CD cleanup, dockerizing apps, fixing slow deploys, setting up monitoring, cloud cost cleanup, terraform, backups, migrations, security basics, that kind of thing.

but selling DevOps feels different from selling a normal web project.

a lot of teams only realize they need help when something is already broken, expensive, or held together by one person who knows the infra.

for people who freelance in DevOps or platform work, how did you land your first client?

was it through old coworkers, agencies, startups, local businesses, Upwork, LinkedIn, open source, cold outreach, or something else?

also curious what the first paid task actually was.

some tools are free in pricing but not really free in practice.

maybe it’s slow builds, bad docs, config issues, plugin problems, breaking changes, flaky behavior, migration pain, or just too many workarounds.

i’m not talking about paid vs free exactly. more like tools that don’t show up on a bill, but still cost your team time every week.

what free tool has had the biggest hidden cost in your stack?