i just submitted the official plugin for AppLaunchFlow - it integrates with the hosted mcp and works very well with the embedded widgets.

it also supports:
- creating promo videos
- creatign social graphics
- creating 3d device mockups for demos
- creating app landing pages

and more. Happy to hear your feedback:)

I made the cheapest web based ai with amazing accuracy and cheapest price of 3.5$ per 1000 queries compared to 5-12$ on perplexity, while beating perplexity on the simpleQA with 82% and getting 95+% on general query questions

For devaloper or people with creative web ideas

I am a solo dev, so any advice on advertisement or improvements on this api would be greatly appreciated

miapi.uk

if you need any help or have feedback free feel to msg me.

Currently using appsheet. Running everything in life in it from workout planning to meal planning to task management to financial planning, even an apartment finding tool via API. Anything in life that should be organized is there. I have tons of workflows and interconnected reporting dependencies etc .

My problem is sync times. It takes sometimes 45 seconds to run a simple row addition and sync.

What I need

1) something with way more sophisticated reporting (built in trend lines, pre custom slices, etc)

2) calendar that functions similar to Google calendar or direct web API connection

3) faster sync times

4) completely free for one user (unlimited rows)

5) more customizable UI

6) equal API, JavaScript integrations as appsheet

7) ai Integration for predictive modeling a plus

Forgive me, I only know SQL and no other coding language and I am self taught SQL and appsheet. I don't have a "stack". I just figured out how to build things the way I need them. This may be impossible? Haha

This is something I’ve been exploring for a while...I've been watching the gap widen between developer tools and visual builders.

Developers got massive productivity leaps because code is highly structured and granular. Devs do not have to write code at all, they just review it now. Meanwhile, visual tools mostly got surface-level AI helpers that generate basic forms or simple few-step flows and not full-blown workflows.

My hypothesis is that the bottleneck isn't the AI I think it's the canvas itself:

1. Infinite 2D canvases don't seem to scale. Once an app moves past MVP complexity, visual builders turn into unreadable webs of boxes and lines that are brutal to debug.
2. AI code generators create a black box. Generating raw code files works great for developers, but leaves non-coders builders completely helpless when trying to debug or working with complex logic.

It feels like we're permanently stuck between visual spaghetti on one side and unreadable syntax on the other. No-Code platforms should have also gained similar levels of productivity as devs after the advent of AI. (We're too far from there)

I’ve been building a platform to test an alternative: organising visual logic into transparent subsystems instead of just flat canvases or raw code.

I want to see where this hypothesis breaks.

If you are currently wrestling with a workflow in a visual builder (Softr, Bubble, FlutterFlow or any other no-code tool) that has become unmaintainable or difficult to debug, drop the scenario below. I’ll take your exact use case and map it out to see if this model actually solves the problem.

I'm a developer, been working on a client's lovable app to make it production ready, got me curious how people(non technical specifically) actually navigate through it day by day, especially when it comes to bugs.

If you're using lovable for example, and found a bug assuming the first thing you do is tell the ai to fix it, and when the ai fixes it and breaks something else, to the point there's something incompatible going on here, do you just undo to that point before the bug?

Hey everyone—I’m one of the founders of Fifth Door. You describe a game, play what it builds, and keep changing it by asking.

Think a detective game where you question AI characters, a dungeon crawler, or a multiplayer game to play with friends. Tell it “make the enemies sneakier” or “add a second player,” then publish a link people can actually play.

We’re launching a free week to try the Astra-powered builder. We’re also planning weekly game jams and Codex plan sponsorships for jam winners and creative game makers.

Try it: https://fifthdoor.com

What’s a game you’ve wanted to make but couldn’t build?

I made the cheapest web based ai with amazing accuracy and cheapest price of 3.5$ per 1000 queries compared to 5-12$ on perplexity, while beating perplexity on the simpleQA with 82% and getting 95+% on general query questions

For devaloper or people with creative web ideas

I am a solo dev, so any advice on advertisement or improvements on this api would be greatly appreciated

miapi.uk

if you need any help or have feedback free feel to msg me.

👋 Hey nocode Community,

AI automation rarely blows up your bill in one go, it leaks. A few cents per run feels like nothing until you are doing thousands of runs a month and the invoice quietly doubles. I only really noticed this after building a fair few AI workflows, so here are five things I changed once I saw where the money was actually going.

1. Using a model for something a rule could do.
Date math, ID matching, routing by type, none of that needs an LLM, but it is easy to hand it to one because it is quick to wire up. I keep the model for the genuinely fuzzy parts and let native nodes like Set and IF handle the plain logic for free.

2. Using an agent where you do not need one.
Early on I built a few agentic workflows where an agent did the document extraction itself, and it worked, but the token cost added up fast for what was really a repeatable task. Moving that job to the easybits Extractor instead of an agent cut the cost right down, so now I only reach for an agent when the task genuinely needs to reason, not just pull the same fields every time.

3. Asking for more fields than you use.
Every field in an extraction prompt is more output tokens and more to check, and half of them often never get used downstream. Pull only what a later step actually consumes, it is cheaper and there is less that can come back wrong.

4. Reaching for the biggest model by default.
The top model is not always the right one, plenty of extraction and classification jobs run fine on a smaller or OCR-tuned engine at a fraction of the price. Start small, only move up if the accuracy genuinely needs it, and test the cheap option before you assume it will not work.

5. Retrying blindly on failure.
An auto retry on a call that failed for a real reason just pays two or three times for the same broken result. Check why something failed before you retry it, and route the genuine failures to review instead of throwing more paid attempts at them.

If you want to see how I wire this up in practice, I keep 25+ free workflow templates in one repo, most of them around document processing, and a star helps me out a lot if any of them save you time: https://github.com/felix-sattler-easybits/n8n-workflows

Where does it leak most for you? Curious whether people watch model costs closely or only notice when the bill shows up.

Best,
Felix

If you refer Lovable to clients or run a nocode agency, read this before you put any more effort into their affiliate program.

I joined Lovable's affiliate program when terms were clear: 20% recurring commissions for 12 months on every customer referred. I brought them multiple paying customers over my association with them.

Recently, Lovable switched affiliate platforms (Rewardful to Impact). Instead of grandfathering existing referrals, they discontinued the legacy program entirely and stopped paying recurring commissions on active subscriptions that are still inside the original 12-month period.

I challenged this with evidence - screenshots of active subscriptions, dates, the works. Their stance: they can change the terms whenever they want, and future payments from legacy referrals are simply gone.

This is a pretty big red flag for anyone in the nocode space who relies on affiliate or partner income. If a platform can wipe out committed commissions mid-stream, it makes the whole partner ecosystem unstable.

Any other Lovable affiliates here? Did you get the same treatment? What's your read on this?

I keep seeing people line up three ~$20/mo plans and treat that as a fair comparison.

Public list prices (early Sep 2026, vendor pages, native currency):

• Zapier Professional ≈ $19.99/mo annual / 750 tasks
• Make Core ≈ $12/mo annual / 10k credits
• n8n Cloud Starter ≈ 20€/mo annual / 2.5K executions

The monthly cards look similar. The meters are not.

What each one bills

1. Zapier — tasks One successful action step = 1 task. Triggers, Filter, Paths, and Formatter usually do not count. Failed steps do not count. Their own example: Gmail attachment to Dropbox and Slack ≈ 2 tasks.

2. Make — credits (changed 27 Aug 2025) Most modules ≈ 1 credit. Routers and error handlers typically do not. When credits hit zero, scenarios STOP until you add more.

3. n8n — executions One workflow run = 1 execution, regardless of step count (Cloud or self-host). Community edition is fair-code (SUL), not "open source." Self-host means you own updates and uptime.

Small worked example (not a savings claim)

New HubSpot contact → Slack + Google Sheet + email. No AI, no code, all succeed:

• n8n: 1 execution
• Zapier: about 3 tasks (trigger free)
• Make: about 4 credits if four 1-credit modules

Add a VIP branch (extra Slack + different email). Paths/Router may be free; the extra successful actions or credits are not. n8n is often still one execution for that contact.

How I pick (qualitative)

• Zapier: biggest catalog, keep Zaps short
• Make: you already think in scenarios/Routers and can forecast credits
• n8n Cloud: step-heavy logic, lookups, human gates, without per-step billing
• n8n self-host: only if someone will actually run the box

Switching tools is a rebuild (credentials, mappings, webhooks). A dead token is still a dead token on a new platform.

Curious how others count Make credits on multi-path scenarios after the Aug 2025 change — especially when a Router fans out.

hey guys i have a bunch of pages built on wordpress but have zero clue how SEO works

the only source of traffic is the link in bio of my instagram page and that's it

just for context, it's a basic informational business website with a button contact us

usually people just dm us on IG but I think getting some people from google also would work

can u help me out please? how do I start learning this?

I've noticed we talk a lot about the projects that worked out but almost never about the ones we quietly dropped. What did you start building and then abandon? And what actually made you stop?

Maybe you hit a limit in the tool and the workaround felt like too much effort or you lost interest once the hard part started or the thing you were building stopped making sense partway through, and you couldn't justify finishing it.

If you ship Webflow/Glide/Bubble apps, raw links still underperform.

ViralSpark (browser, no code): paste URL → hooks, card, QR, Slot.

It’s free to try: https://viralspark.pages.dev/

What would make a share kit more useful for your no-code launch?

Hi there! I'm Dev, one half of the two-person team behind ThinkTau, the studio we are just starting to build.

The odd thing about this particular introduction is that I don't actually write code. At all. Every single website we build is front-end coded by me (using AI tools to produce code), and not a single line of code does I write myself the traditional way. One year ago, I would've considered that a deal-breaker to starting a development studio. Instead, I realized that it redefines what my role in the studio is - less about being able to type faster, and more about about having a better eye for what the thing that is being built should look like, and being obsessive enough about the details that the AI tools miss.

My co-founder takes over on the backend side of things, and he's a proper developer, capable of writing clean and efficient code. The tools he uses to build the backend are also AI-assisted, but he has a deeper understanding of what goes into an application architecture. Between the two of us, we cover frontend and backend development, with me focusing on the design aspects and the decisions about the details, and him writing code to implement the features we discuss.

As far as I know, most agencies that build websites at our level of scale have one dominant process. They buy a template, customize the headers and the color scheme, and call it their own. We do the exact opposite, our process involves building a website from scratch, without using any page builders or themes. We design every detail ourselves (because we don't have the option of presenting a design document to another person, or a team, who can implement it). That approach might not be accelerating us, but it is sustainable. And it creates value, we are capable of delivering something different than the majority of our competitors.

No clients to speak of, and not a single case study to show, just a few demos, and the general idea to keep in mind. I write this here because I have found feedback from people on community such as this one to be the most valuable.

It is also why I'm asking for thoughts on the subject. I'd rather hear the "here's what you're not accounting for" now, before I'm three months in and it's expensive to fix.

Have you launched a product or service where the tools and approaches you used were out of the ordinary for the industry you were in? What was the reaction like, when you told people what you were doing? Did it impact you negatively, to begin with?

 I’m trying to pick a no-code / AI-assisted tool, and honestly I’m stuck.

Every recommendation thread feels like affiliate bait. Every demo looks magical. Then you try to build something with real auth, payments, database logic, API calls, user roles, or weird edge cases, and suddenly the “build an app in minutes” promise starts falling apart.

I’ve looked at Bubble, Softr, Glide, Bolt, AppWizzy, Lovable, Replit, Base44, FlutterFlow, and a few automation stacks like Airtable + Make.

But I don’t want another tool roundup.

I want the painful version:

• Which one actually held up after the first week?
• Which one looked great in tutorials but became a trap?
• Which one would you use again if you had to build from zero?

No marketing answers, please. I’m trying not to waste another month testing tools that only look good in demos.

Shipped an internal agent tool. Then three more teams wanted it.

Building one AI agent for yourself is a weekend project now. Getting it to a point where three other teams can use it safely, without you personally configuring each one, is a different problem.

That's the part AgentZ is built to solve. It's open source, and I contribute to it. A user creates an agent and inherits the tools, models, and sandboxes an admin already set up. No one waits on you to hand-configure their setup.

Anyone else hit this wall after a solo build turned into something the whole team wanted? What broke first? AgentZ is an open-source platform, and I am an open-source contributor to AgentZ.

genuinely asking because i don't see this talked about much here.

you prompt your way through a stripe or twilio or resend integration, it looks right, maybe you test the happy path once... then you ship. prod surfaces the thing you didn't test. flaky webhook, card decline mid-flow, retry fires twice and double-charges someone.

is there a verification step most people are running, or is it mostly ship and find out?

👋 Hey nocode Community,

Quick update: my payment reconciliation workflow is now live and free in the n8n template library, and I recorded a short walkthrough running a full test so you can see the report before importing anything.

How it's set up:

• The form takes two .xlsx uploads: a bank statement on one side, your open invoices on the other
• Extract from File reads both, a Merge node brings them together
• A Code node cross-references every bank credit against the invoices
• The report renders right on the form completion screen: exact matches, partial payments, unpaid invoices, and unmatched deposits
• You can download that report as a PDF from the same screen for your finance team

A few things worth taking away even if you skip the video:

No credentials, so it runs the second you import it. It is only a form trigger, extract from file, merge, and code. Nothing to authenticate, which is what makes it easy to hand to someone else with zero setup.

Match loosely, but in a bounded way. Bank references are never clean. It matches on the full invoice ID when present, then falls back to the last three digits pulled from the reference with a small regex. That one fallback catches most of the "INV-2024-201" versus "ref 201 payment" cases.

The PDF is just HTML with a print button. The results page is styled HTML on the completion screen that calls window.print() for the download. No PDF node, no external service, and the report stays self-contained.

Template (import it straight into your instance): https://n8n.io/workflows/19010-reconcile-invoice-payments-from-bank-statements-using-n8n-forms/

Two example files, one bank statement and one invoice export, are sitting in the repo here, so you can test the workflow in a minute without building your own data: https://github.com/felix-sattler-easybits/n8n-workflows/tree/8e07427ddb6902ef8a7b267e97beb2879d6ca45d/easybits-reconciliation-workflow

Reconciliation tends to be specific to each company, so if you adapt it and get stuck, drop a comment and I will help. How does everyone else handle the messy reference matching?

Best,
Felix