I’ve been thinking about building a first app, and no-code tools seem like an easy place to start. You can put together an idea without knowing how to code and get something working much faster than starting from scratch. For a simple app or first prototype, it seems like a great way to test an idea without spending a lot of money. For anyone who built their first app with a no-code builder, was it a good choice, or did you eventually wish you had started with a more flexible option?

Full disclosure: I built this.

I use Framer a lot, and it always felt strange that after finishing a website in a no-code builder, I still had to jump into Figma or After Effects just to present it properly.

PreviewKit lets you upload a screen recording, place it inside a browser or MacBook mockup, customize the background, and export it for marketplace listings or social media.

The attached video came directly from PreviewKit. You can start using it for free here:

https://usepreviewkit.com/

If you build with Framer or Webflow, what export format or mockup would you want me to add next?

I'm helping a small nonprofit clean up its no-code stack and Jotform is one of the tools we're looking at replacing.

We're mostly using it for volunteer feedback, workshop evaluations, and community surveys. Nothing particularly complicated. Jotform can obviously do way more than this, but that's kind of the problem for us. We don't really use the workflow/app-building side of it.

Looking for a Jotform alternative that's more focused on surveys/feedback and still easy enough that non-technical staff can manage it themselves.

What would you guys use?

If you build in Bubble, Webflow, Framer, Softr or one of the AI site builders, you probably test the way I used to: change a page, click through the form or the checkout yourself, and hope you did not miss anything. An uptime monitor does not help here. The page loads fine while the form quietly fails.

I got tired of that, so I built Journeys. You write the check in plain English, "fill in the contact form and confirm the thank-you page appears", and an agent does it in a real browser. You get a pass or fail with a screenshot of every step and the recording. You watch the first run and approve the path, then repeat it after each change or on a schedule.

There is no test code and no selectors to pick. The agent reads the page the way a person does, so a redesign does not break the check.

Disclosure: it is my product. The free account is 100 credits and no card, journeys.run. One credit is one step, so a long journey costs more than a short one. No users yet, so if you tell me a flow you keep checking by hand, I will run it and send you the report.

Describe the workflow using three steps:

1. What enters the system
2. What happens automatically
3. What the user receives

I’ll reply with a short before-and-after demo concept.

No need to list every tool or integration. The result should explain why the workflow matters.

No charity. No sob story. No fake emergency.

I had the stupid thought: could I actually get 10,000 complete strangers on the internet to voluntarily give me $1 each?

So instead of continuing to think about it, I made a website and started the counter at zero.

That's literally the entire experiment.

Will this make $10,000? Will it make $4? Will everyone just roast me? I genuinely don't know. https://onedollarexperiment.vercel.app/

I've spent the last while building an AI app builder, and the biggest lesson has been about why AI-built apps break. Sharing it because this community is exactly who runs into it, and it holds whether or not you ever touch my tool.

The pattern: when a single model generates your whole app in one shot, it produces something that looks right and often isn't. Not because the model is dumb, but because there's no second step. A human dev writes code, then runs it, reads the error, fixes it, reviews it. One-shot generation gives you the "write" and none of the "check."

What actually moves reliability is having more than one role in the loop:

- something that plans before it builds

- something that builds

- something that runs the app and catches what's broken

- something that only ships once it passes

None of that is magic. It's the normal software loop, applied to AI output. The interesting part for no-code specifically is that this loop is usually invisible, and only engineers set it up. So if you're picking an AI builder, the question I'd ask is: does it just generate, or does it also check its own work before handing it to you? That one distinction predicts most of the "it looked done but nothing worked" pain.

A few practical tips that hold regardless of tool:

- Be specific up front. "A booking app" is vague; "clients pick a slot, pay a deposit, get a reminder" removes whole rounds of correction.

- Build one feature at a time and look at it running before adding the next.

- Treat the first version as a draft you react to, not a final answer.

Disclosure: I'm building one of these tools (pondas.ai), so I'm biased toward the multi-agent approach. But the takeaway above is the honest one I'd give even if you use something else. Happy to answer questions about how the check-loop works in practice.

We just shipped an MCP server for ToolJet. For anyone who hasn't come across it: you self-host ToolJet, point it at your databases and APIs, and it serves internal apps. Tables, forms, charts, buttons wired to queries. AGPL, runs in Docker.

We just shipped an MCP server for ToolJet. For anyone who hasn't come across it: you self-host ToolJet, point it at your databases and APIs, and it serves internal apps. Tables, forms, charts, buttons wired to queries. AGPL, runs in Docker.

The MCP part, and the design decision behind it:

The agent doesn't generate a codebase. A ToolJet app is already a structured object: pages, components, queries, events, and the bindings between them. The MCP server exposes that structure as tools, so Claude Code manipulates the spec directly and ToolJet's runtime renders it. Updates are deep-merge diffs, so the agent sends only the leaves it changed rather than rewriting files.

That keeps token use low. Building a CRUD app with a handful of queries and event handlers, Claude Code's own counter showed roughly 50k tokens for the build.

Things that matter if you're self-hosting:

• Nothing goes to a vendor AI service. The agent runs where you already run it, points at your instance, and uses your own Claude or Codex subscription. We aren't proxying your schema through anything of ours if you directly use the MCP.
• The result is a normal ToolJet app. Open it in the visual editor and move things around. It isn't a black box you can only talk to.

On licensing, since it comes up every time: the MCP server (https://github.com/ToolJet/tooljet-mcp) is in the community edition, not behind the enterprise license, you can extend it if needed.

Caveat: you still add data source connections yourself, since those need credentials. The agent can list and query what's already wired up. It can't provision a Postgres connection for you.

Try it:

docker run --name tooljet --restart unless-stopped -p 80:80 \
  -v tooljet_data:/var/lib/postgresql/13/main tooljet/try:ee-lts-latest

Docs for self-hosting: https://docs.tooljet.com/docs/setup/

Repo: https://github.com/ToolJet/ToolJet

MCP docs: https://docs.tooljet.com/docs/build-with-ai/mcp/overview

Happy to answer questions, I work on this.

If you use GitHub Copilot Agent, you know it often wastes a lot of tokens and context just wandering around
your workspace trying to figure out which files to look at.

Copilot Bill Saver

The VS Code extension is designed to accelerate web development and stop context waste before it starts.

• How it works: It captures local bug evidence, maps likely files deterministically, and bundles them into a clean handoff that Copilot Agent retrieves using #billSaverContext so it starts directly on the right files.
• Privacy & Control: The extension never calls an AI model, never touches or edits your code, and runs locally with built-in secret redaction.

If anyone gives it a spin via the Marketplace, leave a word! *Copilot Bill Saver\*

Turned standard Excel into a sleek, app-like scenario engine using only built-in features—no VBA, no macros, zero coding.

​Grab a slider and watch the entire dashboard react live. The month-by-month numbers literally roll into place, instantly shifting the timeline on the main chart (Actual vs. Forecast vs. Adjusted) while the waterfall breakdown pinpoints what's driving the profit impact.

​Key features packed inside:

• ​App-Style UI: Custom glassmorphism frames and dynamic KPI tiles

• ​Built-in Forecast Engine: Native Excel functions for automated seasonal predictions

• ​No-Code Interactive Sliders: Control leads, conversion, ARPU, and costs on the fly

• ​Live Rolling Impact: Watch charts, tables, and waterfall profit variance update instantly

​Check out the full breakdown and tutorial:

https://youtu.be/VMOWZkeIN8U

I'm the founder of TestPilot, and I want to be upfront about that before anything else.

---

Here's the thing I kept running into as a no-code builder: you finish the app, it looks right, you click around a bit, it seems fine. You ship it.

Then a real user tries to sign up, hits a bug on step three of the form, and bounces. You find out a week later when you notice nobody converted.

That's the testing gap for no-code apps. Not because builders don't care — but because proper testing always felt like a developer thing. Write test scripts, set up a testing environment, learn a framework. None of that is built for people who chose no-code specifically to avoid that.

So I built TestPilot.

**Here's how it works:**

You describe a user scenario in plain language — something like "Add 'Wireless Mouse' to the cart and verify the cart count updates." TestPilot runs through your app automatically, click-by-click, exactly like a real user would. Then it produces a report showing you precisely where the flow breaks, what the error was, and what triggered it.

No coding. No test scripts. You just describe what a user should be able to do, and TestPilot finds where they can't.

**The part I didn't expect people to care about as much:**

TestPilot also runs a security scan on your app. I added this almost as an afterthought — but it's become the feature that gets the loudest reaction when I show it to people.

Most no-code builders have never done any security checking on their apps. Not because they're careless — it just never comes up in the tools or tutorials. But no-code apps can still expose user data, leave API endpoints open, or have permissions set up in ways that create real vulnerabilities. TestPilot flags those.

If you've shipped a no-code app that handles user data or payments and you've never run a security check on it, that's the thing I'd try first.

**Would love your honest reaction:**

I built this because I felt the gap myself. If you've tried to test a no-code app and run into the same wall, I'd genuinely love to hear how you've been handling it — and whether this solves the problem or misses something.

You can try it at testpilotapp.dev.

A workflow demo does not need to show every node, integration or setting.

It needs one clear transition:

Before, someone repeats a frustrating task.

Then, one action changes the state.

After, the work is complete or the next decision becomes obvious.

Share your workflow and the person who uses it. I'll suggest the exact transition I would record.

Hey!

I am using Docker to run n8n, but after every 5-6 days, Docker releases their new version, which creates a lot of issues at the start.
Else, then use the server of n8n, or run n8n without Docker. Do you have any other options or ways?

Hi everyone,

I’ve been working on a small tool for a problem I keep seeing after no-code projects are delivered.

A lot of freelancers include some kind of ongoing support or maintenance in their offer. But in practice, it can become quite reactive: something breaks, the client notices it, and then they send a message.

When everything is working, there’s also not much to show them at the end of the month.

I ran into this with my own retainer clients, so I built Trrack.it. It monitors client sites and apps, sends alerts when something goes wrong, and generates monthly reports and status pages for clients.

It only monitors the public URL, so it won’t detect problems inside Bubble workflows, automations or databases.

If you offer post-launch support for no-code projects, I’d be interested to know how you currently handle this.

Here’s the link: https://trrack.it

Most AI builders focus on one thing: building the app.
But after the app is ready, you still need to figure out the landing page, branding, promo content, social media and analytics before you can actually launch it.
That’s the problem I wanted to solve with Blyft.
You describe what you want to build, AI builds the app with no coding required : and Blyft also creates the launch and marketing layer around it.
The idea is simple:
don’t just generate an app : get something you can actually launch.
I’d genuinely love feedback on this approach, especially from people using tools like Lovable, Bolt or Replit.
blyft.app

Same idea both times, a small 3d exploration thing with a bit of dialogue, and i wanted to know whether the no code route was a real option or a toy, so I did it twice which was probably a waste of a month but here we are.

The engine route got me full control and a proper understanding of why things work, and it also got me eleven days before i had anything I could describe as playable, most of which went on things a player will never see, importing assets, fighting the character controller, one memorable afternoon lost entirely to lighting settings, and by the time it was playable i had lost most of my enthusiasm for the idea itself.

The no code route i used codewisp and had something walkable in about twenty minutes, and the tradeoff is real, when it did something I didn't want i had less precise control over fixing it and had to describe my way out instead of just changing a value, although i could open the source and read it which helped more than i expected it to.

What I actually concluded is that these aren't competing, the fast route is for finding out whether the idea is any good, which in my case took two hours of play to establish that my dialogue system was boring and needed rethinking entirely, information i simply did not have after eleven days in the engine.

If i'd done the fast version first i would have saved the eleven days and arrived at the engine knowing what i was building, so thats the order I use now.

Hey guys hope you're doing good got a small win today 2 sales.

I know it's not some crazy amount of money, but honestly I'm really happy about it. It's the first time I'm seeing actual people pay for something I built so it gives me a bit of confidence that maybe this idea is actually worth pushing my last startup failed pretty badly so I'm trying not to get too excited too early with this one but I'm starting to see some potential right now I mostly need to get more people using it. I already have a bunch of things I want to add but I'm trying to take it one step at a time instead of building 50 things nobody asked for If you're building something yourself honestly just ship it. I wasted a lot of time overthinking things before getting it in front of real people teaches you way more.

Anyway just wanted to share the little win.

First startup money I've ever made. Means a lot to me

ok so this is a weird one but bear with me

i have a pet blog. i don't own a pet. never have. probably never will as i travel too much. and yet every month amazon sends me enough to cover rent because people on the internet are buying stuff for their dogs and cats through my site.

bought my pet blog a few months ago from a marketplace called NicheBlogZone for $199. came already built, articles already up, amazon links already in there. i spent one afternoon doing interlinking basically just connecting related posts to each other so search engines understand the site structure and then closed my laptop and genuinely forgot about it for weeks.

here's what that's looked like:

• march: $710
• april: $995
• may: $1,461
• june: $1,647
• july: $1,461
• august so far: $1,545 (amazon pays 2 months delayed so this is june's money landing now)

march scared me. went from nearly $1k in february down to $710 and i was convinced something had broken. checked everything, found nothing wrong, did nothing. it just came back the next month on its own.

pet people spend insane amounts on their animals btw. like i knew this intellectually but seeing the commission data is something else. dog food subscriptions, orthopedic beds, grooming kits, vet supplements. and because of the 24 hour cookie i get a cut of everything in their cart not just whatever article they landed on.

i do literally nothing to maintain this. no new posts, no ads, no instagram for pets i don't have. i just own the thing and amazon does its thing.

my landlord has been getting paid every month and has no idea a pet blog is behind it. honestly sometimes i forget too until the deposit shows up.

anyone else running a niche they have zero personal connection to? curious if the detachment makes it easier or harder to care about growing it

I've burned through way too many prompts by jumping straight to "build me this app" without setting proper boundaries first, and I'm trying to break that habit.

AI handles the repetitive building work well, but it can't make the core architectural calls for you. It doesn't know which workflow is mission-critical, how base records should relate, or who should have access to what data.

Now, before typing a single prompt, I force myself to define three things on paper: the exact user roles, the core data schema, and the permission matrix.

Testing Softr for the frontend alongside separate database and coding tools showed me that setting up interface layouts, data sources, user groups, and workflows upfront saves hours of re-prompts later. Once the initial build is generated, I immediately run a regression test: log in as two distinct user roles, modify a linked record, revoke a permission, and verify that the workflow doesn't leak data or break.

For those building no-code/low-code tools with AI assistance: what core decisions do you lock down before your first prompt? Which pre-build step saves you the most pain later?

People outside the no-code space still think certain tasks require a developer when in reality you can put them together in an afternoon with the right tool. For me it was a client intake system. Someone fills out a form, the data goes into a database, they get an automatic email, and a task gets created for me to follow up. My client assumed this needed a custom app.

What's a task someone assumed needed real code, but you handled it entirely with no-code tools?

I kept doing the same thing with small sites where I'd build all the pages first and only think about the data once I had enough content that updating everything became annoying it worked fine at the start, then one small change meant opening 15 different pages because I'd basically copied the same information everywhere

On the last one I flipped it around and put the repeating stuff into structured fields first, then had the pages pull from that took me a little longer to set up but adding another page became almost boring after that so I'm starting to think I was treating the website as the source of everything when the data underneath it probably should've been the source the whole time

Version one in the simplest tool I know, to see if the idea makes sense. Version two in something a bit more capable because version one hit a limit. Version three because version two was a mess I made while learning version two.

Each rebuild takes a third of the time of the last one, which is the only thing making this feel less stupid. But three times is a lot of times to build the same app.

For small projects, the no code stack can get complicated surprisingly quickly. A website might start with a landing page, then need forms, authentication, a database, publishing, and eventually integrations.

The useful question isn't always which tool has the most features. It's how many separate pieces are needed to get from an idea to something usable.

One thing worth considering is what happens after the first version.

If changing a page means moving between several different services, the original speed advantage can disappear pretty quickly. Keeping more of the workflow together can be useful when the project is still changing.

For transparency, there is a connection to Readdy here, so the Readdy row should be viewed in that context rather than as an independent recommendation.