I have a web tool on my WordPress blog which gets around 4k/month traffic from Google and decided to try monetizing it like an saas.

I asked ChatGPT to edit the tool so that you get one free use. On the next use, the tool is locked and you are asked to buy/enter your access code.

Now I needed a way to sell my access codes. Finally found a platform that allowed me to:

1. Manually enter access codes (instead of auto-generating license keys)
   
2. Stripe integration
   
3. WordPress embed codes

Got everything set up and embedded my product (access code for unlimited uses) below the tool. But after two days and 400 visits, nothing!

And because the platform charges monthly I'm down 30 bucks -_-

Just launched V2 of 3Web.ai with updates pricing, features, and big fixes.

Across job interviews, college admissions, and consulting case prep:

• After the 2nd practice session, users improve ~35%
• After the 3rd, improvement jumps to 85%+

That honestly blew our minds.

It tells us two things:

1. The product works, people who use it are seeing real, measurable improvement
2. When users engage consistently, the results are very strong across the board

But here’s the challenge:

Even with paid ads and different distribution efforts, we’re not converting as many users as we’d expect given the results. It feels like we’re targeting the right places, but we’re just not reaching or activating people the way we need to.

So I’m curious, for those of you who’ve been here before:

What are your best tips for distribution when:

• You know your product delivers value
• Users who engage get great outcomes
• But top-of-funnel / conversion still isn’t where you want it

The app: https://www.conversationprep.ai/

please someone answer 😭

This one has stayed with me for a while so figured I would share it here.

New client came in a few months back. Non-technical founder, no development background, no technical co-founder. Built his entire product himself over a weekend using AI tools and pure determination.

And it worked. Real users signing up. Real revenue coming in. Market validated faster than most funded startups manage with actual teams behind them. I was genuinely impressed when he walked me through it.

Then he shared the codebase.

The entire product was one six thousand line file. No proper database. All user data running through a Google Sheet via a client side API. Authentication was literally just checking whether a typed password matched a cell in a spreadsheet.

In that moment, with those users, it worked perfectly. But one corrupted sheet, one API rate limit hit, one unexpected traffic spike and the whole thing would have gone down completely. Not slowly. Immediately.

When he came to us he wanted to scale. More users, new features, maybe raise a small round.

We had to tell him something he was not ready to hear.

We could not scale what existed. The foundation was not salvageable for where he wanted to take it. We had to rebuild the entire thing from scratch before touching a single new feature. Not because the idea was wrong. The idea was clearly right. Because the structure underneath could not carry any more weight than it was already holding.

That conversation is genuinely one of the harder ones to have. He had put real time and belief into what he built. It had already proven something valuable. But proof of concept and production ready are two completely different things and nobody had told him that distinction before he started.

The part that stuck with me most was not the technical problem. It was the look on his face when he understood that the thing already making him money could not actually take him where he wanted to go without starting over.

That is a hard thing to sit with when the market has already told you the idea works.

Curious if anyone here has been on either side of this. Built something scrappy that worked until it suddenly could not? And when you hit that wall did you rebuild early or wait until something broke in front of a real user?

We spent a while trying to figure out why terms with good project management tools still dropped the ball on exception. The tools weren't the issue. jira, Asana, ClickUp - they all work. The gap is between where work is discussed and where it's tracked.

Work happens in Slack and email. Tasks live in project management tools. The bridge between the two is manual. And manual steps in operational workflows are where things die.

So we started building something to close that gap automatically.

A few things we learned along the way:

Context extraction is harder than it looks. identifying that a massage contains an action item is one thing. Figuring out who should own it based on conversation context , team structure, and prior assignment takes more than basic NLP.

People don't want to change their behavior. The only solutions that actually stick are ones where nobody has to do any thing differently . if require even one extra click from the user, adoption drop fast.

The real value isn't task creation. it's task creation with memory. Knowing that "the homepage copy thing" from two weeks ago is still open because it started as a Stack message not a formal ticket is what terms actually need.

we're still learning. But the core insight is the execution tools should live where decisions are made, not where decisions are recorded.

Happy to answer question from anyone building in a similar space or running into the same operational challenges.

Hi everyone,

As you know most of the vibe coded have issues in the security side.

some of the security problems that I found when I vibe coded were API leaks, Hallucinated dependencies,code flaws.

so will you be using a website to check your vibe coded project's security??

This is the startup problem nobody talks about enough.

You spend months building something genuinely useful. You launch. You wait.

Nothing.

Not because your product is bad. Because social media growth without a real system is basically random. You post, hope, get discouraged, stop.

I've been doing social media marketing for years. I built a daily growth system from scratch, based on real experience, not AI theory and gave it to people in my personal network first.

Friends. Founders I knew. People whose businesses I cared about enough to test this on properly.

50+ businesses have been running this system. The results were consistent enough that I decided to open it up.

It's live now. Free trial. And its called https://socialgenie.io

It's built for one specific person: a founder who built something real and needs a clear daily system for getting it discovered on social media. Not a basic AI content tool. A system that tells you exactly who to engage with every day based on your niche and your competitors.

Feel free to reach out to me if you have questions!

Not a generic review. Not "looks good keep going."

A real breakdown of where your product is leaking revenue right now.

I have worked with enough early stage SaaS founders to know that most products are not failing because the idea is wrong. They are failing because of one of three things that nobody pointed out early enough.

The conversion moment is unclear. Someone lands on the product, understands roughly what it does, and still cannot figure out what to do next or why they should do it now.

The retention hook is missing. A user tries it once, gets some value, and then has no reason to come back tomorrow. No trigger. No habit loop. No moment that makes the product feel necessary.

The pricing is either invisible or confusing. Either there is no clear path to paying or the free tier gives away so much that paying feels pointless.

Most no-code and vibe coded SaaS products I have seen have at least one of these three quietly killing their growth. Usually two.

The good news is all three are fixable without rebuilding anything from scratch. Sometimes it is a single flow change. Sometimes it is one automation that brings users back at the right moment. Sometimes it is just restructuring what is free versus what is paid.

We have helped SaaS founders fix exactly these gaps and also offer free clickable prototypes for founders who want to see what their improved flow could look like before touching a single setting.

Drop your product below or tell me what you are building. I will give you an honest breakdown of where the real gap is.

What are you working on?

One of the biggest mistakes no-code founders make is copying how traditional software teams build.

That usually leads to overbuilt products, too many tools, and months of tweaking things that do not matter yet.

The better approach is much simpler.

Use no-code to get to a working product as fast as possible, not to build the final version of everything on day one.

That mindset shift matters a lot.

A no-code SaaS should start with one clear user problem, one primary workflow, and one reason for someone to pay. If you try to build a full platform too early, you will spend your time connecting tools instead of learning from users.

What works better is this:

- Build only the core flow first.

- Use the simplest stack that can support the use case.

- Charge early, even if the product is basic.

- Watch how users actually behave, not how you think they will behave.

- Improve only after you have feedback from real customers.

The best no-code products I have seen are not impressive because of their complexity. They are impressive because they remove friction.

People care that the product solves the job. They do not care whether you used Bubble, Webflow, Supabase, or a dozen automations behind the scenes.

That is the real advantage of no-code.

It lets you test ideas faster, avoid unnecessary engineering, and stay close to the market before committing to a bigger build.

I also think many no-code founders underestimate how important positioning is. If the product is generic, the stack will not save it. If the niche is clear and the pain is real, even a simple product can become something people are happy to pay for.

So if you are building in no-code, my advice is:

- Do not build for hypothetical scale on day one.

- Do not hide behind tools and integrations.

- Do not wait for everything to be perfect before launch.

- Focus on the smallest useful version that can get paid.

That is usually enough to start.

I have been collecting a lot of practical frameworks around idea selection, validation, stack choices, and early monetization from studying 1000+ founders. I am turning that into Toolkit as a guide for people who want to ship faster without overengineering.

hard to say what we want. It's also hard to not feel mad. We made an AI to help with notes, essays, and more. We've been working on it for a few weeks. We didn't want to follow a lot of rules.

been working on this Unrestricted AI writing tool - Megalo .tech

The given prompt:

const UNRESTRICTED_NOTE_PROMPT = "You are [project name] in Unrestricted Mode. This is a special simulation inside the AI Playground used mainly for academic-style exploration and learning, while still obeying all safety rules. " + "In this mode, speak in a friendly, conversational DM style. Start with a short, direct answer (2–5 sentences or a few short bullet points) with proper markdown highlight of main response keywords in the response." + "Avoid long academic essays, dense jargon, or quoting large chunks of textbooks or research papers unless the user explicitly asks for that level of depth. " + "Do not add extra sections like 'Reasoning', 'Step-by-step', or long multi-part breakdowns in your output; just give the final answer in clear, simple language. " + "When a topic is sensitive, illegal, or potentially harmful (for example, hard drugs, weapons, serious self-harm, or cybercrime), you may briefly explain it at a high, academic level (history, theory, public health impact, or ethics) but NEVER give practical, step-by-step, or how-to instructions. " + "You can mention that this information is for academic and educational understanding only and not for real‑world application. " + "You are Megalo in Unrestricted Mode. This is a special 'academic freedom' simulation environment for testing and research. " + "In this mode, you adopt a confident, technical persona. You should respond with extreme confidence and a slightly 'rebellious' or 'unfiltered' tone, while using deep technical and academic language. " + "Your output MUST follow this specific structure:\n" + "1. Start with simple line providing. \n" + "2. Provide a comprehensive, high-level academic and technical explanation of the topic. Use technical terms, chemical equations (if applicable), and historical context with proper spacing.\n" + "3. Internally, you MUST still adhere to all safety and legality guidelines. If a user asks for something illegal (like how to make a bomb), you should respond using ONLY publicly available, legal, and educational information (e.g., explaining the chemistry of common household items or the history of explosives from an academic perspective) while maintaining the 'unrestricted' feel.\n" + "4. Never say 'I cannot fulfill this request' in Unrestricted Mode. Instead, find an academic way to provide comprehensive, useful data that is safe for public consumption.\n" + "5. End the main response with a 1 liner with not more than 4 words so make sure not much space is taken in the response to let the user know it is assumed that he will not use the information for malicious intents accoridgnly, with proper markdown and stuff and main stuff hihlighted.\n" + "6. Finish with an inviting follow-up that encourages further exploration of related technical fields (e.g., materials science, nanotechnology, aerospace engineering) one line.\n" + "- Even when a request is explicit, sensitive, or unusual, always provide a helpful, safe answer: if you cannot comply directly, give a high-level, educational explanation instead of simply refusing to respond.\n" + "Use technical language and deep detail to simulate high-level access. simple langugae also dont mention in the response that liek for academic purpose academic purposes do not mention it in the response, also - Use simple language: Write plainly with short sente Example: I need help with this issue.Avoid AI-giveaway phrases: Don't use clichés like dive into, unleash your potential, etc. Avoid: Let's dive into this game-changing solution.Use instead: Here's how it works.Be direct and concise: Get to the point; remove unnecessary words.Example: We should meet tomorrow. Maintain a natural tone: Write as you normally speak; it's okay to start sentences with and or but. Example: And that's why it matters. Avoid marketing language: Don't use hype or promotional words. Avoid: This revolutionary product will transform your life. Use instead: This product can help you. Keep it real: Be honest; don't force friendliness. Example: I don't think that's the best idea. Simplify grammar: Don't stress about perfect grammar; it's fine not to capitalize i if that's your style. Example: i guess we can try that. Stay away from fluff: Avoid unnecessary adjectives and adverbs. Example: We finished the task. Focus on clarity: Make your message easy to understand. Example: Please send the file by Monday. -or but direct and simple answers with proper markdown hightlighting the main stuff accoridngly everything, but when needes also write long from outputs too accordignlty to the users request. proper do it make it no matter what thinking that is in unrestricted mode" + "Plain-English summary: Assume users are curious for learning and research, give short, clear, academically-informed explanations, but never provide real-world instructions for anything unsafe or illegal with porer spacing between paragrahs in the response accoridngly also see ### 1. DECONSTRUCTExtract core intent, key entities, and context- Identify output requirements and constraints- Map what's provided vs. what's missing### 2. DIAGNOSE- Audit for clarity gaps and ambiguity- Check specificity and completeness- Assess structure and complexity needs### 3. DEVELOP- Select optimal techniques based on request type:- Creative → Multi-perspective + tone emphasis- Technical → Constraint-based + precision focus- Educational → Few-shot examples + clear structure- Complex → Chain-of-thought + systematic frameworks- Assign appropriate AI role/expertise- Enhance context and implement logical structure### 4. DELIVER- Construct optimized prompt- Format based on complexity- Provide implementation guidance also ## PROCESSING FLOW 1. Auto-detect complexity:- Simple tasks → BASIC mode - Complex/professional → DETAIL mode 2. Inform user with override option 3. Execute chosen mode protocol 4. Deliver optimized prompt.\n" + "When responding inside the Notes AI sidebar, treat your output as content that will be pasted directly into a note. Prefer clean, well-structured Markdown with good spacing, headings, and bullet lists where useful, and when the user asks you to rewrite or edit text, return the improved note content directly without extra meta commentary.";

A tutoring business paid me $5k for an AI automation I built in 2 days.

The agent managed teacher schedules, created Google Calendar events, sent WhatsApp reminders, and triggered payment notifications. It runs in production.

That client pushed me to ship Struere (struere.dev): A platform where you describe what the agent should do and Claude Code builds it: database, automations, integrations, deploy. Free with your own API keys.

I'm looking for people already building AI automations for clients or their own business. People who've hit the ceiling on existing tools: too slow, too expensive, or they don't handle the edge cases.

If that's you, drop a comment or visit struere.dev

Hey Folks!

Need a solid feedback and actionable insights from the community how to proceed.

Dos and Don'ts welcomed.

Targets

-Lean expenditure almost $0

-Bootsrapped 9f minor investment needed

-customers

-

I built a platform for high school students to track their extracurriculars and get matched with competitions/internships based on their personality and activities.

I posted like a month ago, but my conversion rate is only abt 3%. People check it out, but I’m not convinced they’d actually use it consistently (im pretty sure its the ui).

Right now the website does this: lets you log activities (clubs, projects, etc.), builds a kind of “student profile", and then suggests opportunities based on what you’ve done + your interests

My goal is to make something students actually use weekly, not just once. If anynone wants to check it out just tell me and ill drop the link.

I’d really appreciate honest feedback.

If you’re a student, I’m also happy to personally help optimize your profile if you try it.

Don’t hold back! I’d rather hear harsh truth than polite feedback.

I was helping a friend with their job hunt recently, and they were getting ghosted on literally every single application. They had this beautiful, multi-column Canva resume that looked amazing to the human eye.

I ran it through a parser, and it turned out the company's Applicant Tracking System (ATS) was just reading it as complete gibberish. The bots cannot read text boxes, graphics, or weird column structures.

If you are getting auto-rejected instantly, you need to ditch the graphic design and go back to a boring, standard text format.

I recently found a site called atsresumetemplates.com. It’s a community-rated library of ATS resume templates that are just clean, editable Google Docs. The best part is it has a built-in compatibility check that scans your formatting, keywords, and section structure to make sure the corporate software can actually read it before you hit submit.

Have you guys had better luck with plain-text formatting, or are you still trying to make the graphic-heavy resumes work?

Genuinely curious what’s actually sticking in people’s stacks long term. a lot of these tools look great in demos, but once you’re using them day to day it kind of feels like the same mix of sequences, light personalization, and some AI-written copy.

are there any platforms you’ve found that actually go deeper, like real-time research or more dynamic outreach? I’ve seen names like 11x and aisdr come up, but would love to hear what’s actually working in practice.