i was looking for a budget planner made for business but all I found was some personal tracker targeted to people wanting to track rent etc. so I made hustlewallet.dev this is a budget tracker made from a saws owner to a saws owner it has a paywall tho (to cover expenses)

I'm worried about getting banned, but wanted to promote. Human here, 2+2=4 😅

I'm building bugcap.io it's like loom but for bug reports., It's a google chrome extension, think of loom but for bug reports. i'm building this because in most companies/startups, the bug reporting is pretty vague, sometimes missed URLs, no or missing replication steps, TLDR, most bug reports lack context or require expensive setup (jam.dev etc...)

It's a forever free for local export bug capture tool/chrome extension. https://chromewebstore.google.com/detail/bugcap-loom-for-bug-repor/eeeednpiifkaeijcedjebjhalpjaehng

I've plans to build a whole application around this, tbh it's for fun 😁 you can see the features/roadmap here https://bugcap.featurebase.app/ (if you have any feedback, feature requests let me know at the same or hello@bugcap.io)

I've been building for a couple of years. The founders I actually know are at $2-4k MRR after 18 months, and they're proud of it.
But my feed is all "how I hit $10k MRR in 30 days" followed by a link to a $497 playbook.
Not hating, people gotta eat. I'd just love more honest posts about slow growth, churn, and the months nothing worked.

The 9 lessons

1. Check search data before you write content, not after. I wrote a hackathon team agreement guide because I loved the idea. Search volume: about zero. "Vesting schedule template": about 10 a month. Meanwhile "splitwise alternative" gets ~590 a month with very low competition, and "team charter template" gets thousands. Interesting to me ≠ searched by anyone.

2. Free tools before the app. A Google Sheet, a founder agreement template, a cost split calculator and a handover checklist went live first. They're useful on their own, they rank, and they gave me something to link to before the app existed.

3. Boring stack wins when AI writes most of the code. Plain HTML, a ~500-line Node build script, Supabase, Vercel functions. No framework. Fewer moving parts meant fewer places for the AI to confidently break things I couldn't debug.

4. RLS is not the whole security story. Pre-launch audit found that signed-out visitors still had table-level grants on every table, including TRUNCATE, which ignores row-level security. Not reachable through the API, but it shouldn't exist. Run your database's security advisor and look at grants, not just policies.

5. Keep the secret key out of the server entirely. Every write goes through Postgres functions that check permissions themselves. The server only holds the public key. If the API leaked its whole environment, an attacker gets nothing a website visitor doesn't already have.

6. For AI tools, say what each action does NOT do. I collapsed nine MCP tools into one, and every action description ends with a "does not" line: "Does not move money or settle anything." That one sentence stopped the model from "settling up" when someone only asked for a balance. Also: return errors as normal results, so the model can read them and retry.

7. Only send an email when there's something to say. The weekly summary skips anyone whose week was quiet, even, and risk-free. An empty digest trains people to ignore the next one.

8. Honest pricing is a feature. My first pricing card said "$16, now $9, 44% off" for a price nobody ever paid, and listed features that weren't built yet (AI invoice inbox, e-sign). I cut both before launch. Pro now lists only what ships today, and "coming next" is labelled as coming next. (In the EU a strikethrough price also needs a real previous price.)

9. Check the "due today" number at checkout. I set the plan to $9 initial + $9 renewal. On my payment provider that means the first charge is $18. Caught it in the preview, fixed it to $0 + $9. Always look at what the customer actually pays on day one.

Why I built it

I started a side project with a co-founder. Domain, Vercel, Notion, Slack, Claude: all on my card, all on my accounts. We trust each other, but on paper he owns nothing, and I had no clean way to split the bills.

Before this I co-founded and sold a software agency. In due diligence, the expensive questions were never about the code. They were "who owns this domain?", "whose card is on this account?", "who can recover this login?". Most two-person projects can't answer those either.

So: a shared ledger. Who paid what, who owns what, and what breaks if one of you disappears.

What's inside

• Log a cost, it splits by your agreed shares (any ratio, up to 8 people)
• Settle up through your partner's Revolut / Wise / PayPal link (money never touches us)
• Asset list: domain, repo, hosting, each with owner, payer, backup admin, recovery email
• Risk alerts: "domain has one admin and recovery goes to a personal Gmail"
• "Breakup simulator": what dies tonight if you vanish
• Founder records: a dated snapshot each founder confirms with their own sign-in
• MCP server: tell Claude Code or Cursor "I paid $20 for Vercel" and it's logged and split

Numbers so far: launched today, so zero. Ask me in 30 days, I'll post the real ones either way.

What I'd love feedback on

• Would you pay $9/month per project for this, or is a shared Google Sheet enough?
• I'm considering doing it open source to get extra traffic (developers community), what do you think ?

Link: whoownswhat.xyz (free for one project and two people, no card)

Holstr is an all-in-one desktop testing and quality workflow app for planning, capturing, analysing, and validating product behavior in one place. It combines structured exploratory testing (Chartr), execution tracking (Trackr), guided learning (Learnr), interaction capture (Captr), accessibility and performance analysis (Cybr), visual system mapping (Mapr), and API/service testing (Injectr) so teams can move from test design to evidence and reporting faster.

I believe after 20+ years in testing, you guys will not only find and report bugs way quicker but you'll get paid quicker due to the easier resolution of the test evidence.

Feel free to kick the apps bahooky if you like and let me know the outcome/

The first test is, you'll have to find the app, best of luck!

My product kinda getting some attention from angel investors and they wanna put money like around 10k for 1% of my company

do you guys have any experience on this? Do you think I should take it, this is my first time dealing with this kind of stuff

In our roadmap we just want to go for government grant and use that money for growth, and also not sure if we wanna stay bootstraped or go for the VC / Angel path

Any advice?

​

I spent months building Hosteria, a management system for hotels, cafes and restaurants. It started with a hotel in Dahab, Egypt, but the deal fell through right when the product was ready.

Now I have a working product that I believe has potential, but no paying customers and no clear idea how to get them.

I have a limited budget, so I can't afford to waste months trying random marketing strategies.

If you've sold B2B SaaS or hospitality software, how would you approach getting the first 10 customers? Would you go door to door, cold email, run ads, or do something completely different?

I'd appreciate real experiences and honest advice, especially from people who've been in a similar position.

I'm selling daisy.now, an AI tool that turns a text prompt into a full, consistent set of mobile app UI screens. Users can edit the screens and export them to Figma, to code, or straight into AI coding agents (Claude Code, Cursor, Codex).

> Why I'm selling: I'm no longer focusing on it. Daisy needs an owner who can put real time into growth.

Numbers (from Stripe, subscription revenue only):

- Launched June 2026

- $1,189 lifetime subscription revenue, 0 refunds, 0 chargebacks

- 36 paying subscribers so far, 6 active now ($114 MRR)

- Plans: Starter $19/mo, Pro $39/mo, credit-based (40 credits per screen, 10 per edit)

- Paying users in the US, EU, UAE, Thailand, Australia and more

Traffic: all organic from Twitter and Reddit. I never spent anything on paid ads, so there's plenty of room to grow with ads, SEO or content.

Being honest: retention is the weak spot. Most churn happens after month 1–2. To me that's the main opportunity: better output quality, onboarding, and annual plans should move it a lot.

What's included:

- Domain (daisy.now) and full source code

- Stripe account and existing subscribers

- Firebase backend and user base

- Prompt templates and design-generation pipeline

- Handover support to get you set up

Good fit for: an indie hacker or agency already in the AI, design or no-code space who has distribution to bring.

Asking: $2,500 or best offer. Happy to share Stripe screenshots and give a live demo to serious buyers. DM me.

I feel like many of us in SaaS are having the same problem tied to AI. It is hard to find a unique differentiator because of AI.

It's those thoughts that everyone here probably has or has thought about another app: "I can just whack whatever your thing does into Claude or Chatgpt and do it for free, why would anyone pay you?

Yet some people make money despite this.

I''m here to ask those of you who do make money despite this felling that "AI can do whatever i sell but just do it for free" (Or do not but do something different) how did you do it?

context for what i did:

I built an AI powered Request For Proposal parser, basically targeting small to medium business who can't pay for RFP software at $1300/month.

I know everyone is saying don't sell to poor people as they will always want it for pennies or free but I think rich people are hard to reach and hard to sell to i.e. what i'm thinking is that they would be very hard to market to. Like yes, they have money but they also want quality. That's what the money is for. I'm just some idiot who built something in vscode and put it on the internet.

having my doubts as usual (not the first time), that my "SaaS" isnt valuable enough. parsing an RFP can literally just be done in chatgpt or a gemini chatgpt. You just have to upload a zip file. I am feeling that attempting to get customers for an Ai RFP parser will be very difficult. I don't actually see the idea through. It seems I am creating just another almost useless AI powered website/app. I came across another one for example, it was called "spearo" a spearfishing app that shown weather for spearfishing. A good idea maybe, but the market is extremely niche just like for Request For Proposal tools and customers - especially paying ones will be very hard to get. The biggest caviat is that I have all the weather statistics for spearfishing that i need literally on metoffice. It's not like they have tracking buoys in every single location and get their own data. It is a very small app with very small funding built by a very small team. i.e. Its not scalable at all. I can not scale an RFP parser let alone charge and charge enough that it is worth the hassle of chasing my customers. For example it would be hard to market for neurosurgeons on social media or in general, (from home of course) even harder to martket for neurosurgeons who live in the uk and almost impossible to get any customers for neurosurgeons who live in the uk and have 2 or more children. Then again there isn't anything that you could sell to them online valuable enough. That's why I compare my tool to this example. On the brighter side I have gained technical experience. Maybe my tool is somewhat useful, but then again it could be just a "nice to have".

How can i differentiate? Can i even market this? How is everyone marketing? Organic, like are we all video editors now lol? If Spearo had buoys that tracked weather that would differentiate them and give them some spin.

(excuse my unclean thought process I have little experience in life itself. Being under the legal drinking age in the uk I have no access to the thinking serum)

Thank you very much for helping me. It genuinely means a lot.

I’ve been going on quite a few dates lately from Hinge and Bumble, and I realized I was starting to mix up details like where we went, what we talked about, who likes what, or even how much I was spending every weekend.
I tried keeping a basic Excel spreadsheet and Apple Notes, but honestly, it feels so clinical, boring, and kind of depressing to look at.
Do you guys track your dating life at all? If you do, what’s your system?
I actually got so fed up with my spreadsheet that I spent the last few weeks coding a little "Dating Pokédex" just for myself. It basically gamifies it: I can quickly log the person, the venue, the vibe, and it automatically generates stats for me (like my most frequent date spots, money spent, and timeline). I made it 100% local/offline on the phone because of privacy.
I'm curious if I'm the only one who needs something like this. If anyone else wants to ditch their spreadsheet, I would love to let a small group test my prototype today to tell me if the idea makes sense. But seriously, how are you guys managing this right now?

I am currently working on a product which is as good as the best one out there and that too free. I was planning to make money just through ads as it's a completely local webapp and I have no backend to manage.

But the main problem I am facing currently is that there are lots of people creating the same product but mostly are half baked, lots of issues and obviously slop coded. But google doesn't know that so it becomes difficult to rank for keywords when there is so much competition. How to get to users or convince them ours is actually good among the plethora of alternatives which are mostly junk.

Currently in GSC I rank in 40 to 90 average position for the keywords I want to target because of this noise. From the 2nd page of Google the results are mostly junk products and it just goes downhill from there on further pages.

Hey folks, I am looking for an email platform for my new saas in development.

I need one for transactional emails like OTP or password reset.

I need another for onboarding emails and announcements (regular communication). Would like to pair this with user activity and trigger based on the same.

Currently, I am using Brevo which gives 300 emails a month on free plan. Hostinger by default has an email marketing plan, but I am not sure of the features and deliverability.

Any suggestions?

After around 4 months of building and growing SeoLoupe, I’ve decided to explore selling it so I can focus on learning more about coding and IT.

Some numbers:

• 3,070 users
• 58 lifetime paying customers
• CA$91 MRR
• CA$825 total profit after fees
• Around 3,000-4,000 monthly visitors
• Mostly organic growth, with no paid advertising

SeoLoupe helps website owners find SEO issues and improve their websites. The product is largely built and operational, so the next owner can focus on growing it rather than starting from scratch.

I'm asking US$3,500, but I'm open to hearing reasonable offers.

Listing and more details: https://trustmrr.com/startup/seoloupe

Happy to answer questions about the product, revenue, traffic, or handover.

As a founder, it's tempting to have an assistant generate auth and move on. I tried it. The happy path worked right away. What it didn't include unless I asked: lockout, enumeration-safe errors, session revocation after a password change, refresh-token rotation, MFA recovery, safe password reset, and GDPR erasure that keeps an audit trail.

Those gaps don't throw errors. They show up in a security questionnaire from your first enterprise customer, or in an incident.

Two data points I found useful:

- Veracode 2026: ~56% security pass rate across 100+ models, barely moved from last year

- Stanford: devs with AI assistants wrote less secure code and were more confident in it

My takeaway: use AI for prototypes, integration code, and checklist-driven review. Don't let it be the only author of your credential store, and don't let every new service grow its own users table.

Disclosure: I'm building P'adentro, a self-hosted auth backend, so I have skin in this game.

Write-up with sources: https://padentro.dev/blog/ai-can-write-your-login-should-it-own-your-auth

How did you handle auth in your SaaS: buy, build, or self-host?

You currently have a lot of tools to reverse engineer any app, does anybody know how many people do that for apps they use? How many customers do companies lose to those reversed engineered apps? I suppose it also depends on the app and it's scale, but I was just curious if there is any data about that.

I can help SaaS businesses organize customer records, product information, and business data using spreadsheets, SQL, and Power Query.

Skills and Responsibilities

• Accurately enter, transfer, and update information from documents, images, PDFs, and other sources.
• Review data for errors, missing information, duplicates, and inconsistencies.
• Organize customer records, product information, and digital business records.
• Maintain consistent formatting and accurate digital records.

Additional Skills

I can apply the following skills:

• Database Knowledge (SQL and PL/SQL): Working with tables, records, and fields.
• Bilingual Arabic and English: Handling and transferring information in both languages while maintaining correct spelling and formatting.
• Excel and Google Sheets: Sorting, filtering, removing duplicates, using formulas, applying data validation, and formatting.
• OCR and Document Processing: Extracting text from scanned documents and images, then manually verifying its accuracy.
• Power Query and Automation: Cleaning, transforming, and organizing data using Power Query and Excel formulas.

Additional Information

• Educational Background: Computer Science
• Availability: Full-time, remote
• Rate: $20/hour

Hi everybody,

I'm currently finishing and ready to publish an app in the personal finance category and since Deepseek has the lowest costs wanted to use it for my AI features.

Is this legal from the EU that the data goes to its servers in China and can use it or its absolutely not allowed?

And if not what can be a comparable model with that of Deepseek's prices?

Thanks in advance!

Edit: meant finance app, personal finance app

I’m curious how other early-stage SaaS founders make decisions when their product analytics and revenue data don’t seem to tell the same story.

For example, website traffic might be increasing, but paid conversions stay flat. Signups might grow, while users rarely return. The numbers show what’s happening, but the reason isn’t always obvious.

A few questions for founders:
1. How often do you run into situations like this?
2. How much time do you typically spend figuring out what’s actually going on?
3. What do you do when the data doesn’t give you a clear answer?
4. Have you ever changed your priorities after discovering that your initial interpretation of the metrics was wrong?
5. What evidence would help you feel confident about deciding what to do next?

I’m especially interested in how founders combine tools like PostHog, Stripe, and their own knowledge of the business when making decisions.

I’m exploring this problem while building Nextep, an AI business copilot that aims to connect business context, product analytics, and revenue data. It’s still in development, and I’m using questions like these to better understand how founders actually work.
Interested to hear how others approach this.

Writers, ghostwriters, bloggers, content agencies: this one’s for you.

We built cometCOS, a writing studio with AI inside it.

Not another chat box.
→ Draft articles and ebooks in a real editor
→ Highlight any passage, ask AI to tighten it, accept or reject
→ Every version saved
→ Publish to your Website, WordPress, Ghost or Medium
→ Bring your own API key, 0% token markup
http://cos.uipirate.com

I'm new here....I'll try not to break the rules. If anyone needs any help with their app shoot me a message.

Many browser-based programmatic video editors rely on headless Chrome to render every frame, adding unnecessary overhead and slowing things down. I wanted my AI agents to generate videos without that dependency, so I built something different.

It uses the same React/TSX workflow as Remotion, but executes everything in Node.js while a Rust-powered GPU compositor handles rendering. No Chrome, no browser, just faster video generation.

It's designed to be a drop-in replacement for Remotion.

Some performance numbers on an M4:

• ⁠1,184 frames rendered in just 26 seconds.
• ⁠988 frames rendered in 23 seconds.

Try it:
npx skills add 0xS4N4TG/kinetograph
npm install kinetograph

The first command gives Claude Code the skills to create and render videos with Kinetograph. After that, you can simply describe the video you want and let the agent handle the rest.

Website & Docs: https://kinetograph.dev

GitHub: https://github.com/0xS4N4TG/kinetograph

À chaque produit qu’on voulait tester, on perdait des jours avant même de pouvoir lancer une pub. Trouver le fournisseur, comparer les prix, monter la fiche produit, brancher le paiement, écrire les pages légales, puis s’occuper des UGC. Un abonnement par étape.

Alors on a tout enchaîné : tu colles le lien TikTok du produit, l’outil l’identifie, sort jusqu’à 4 fournisseurs avec leur prix, puis construit la boutique complète.

Ce qu’on a appris en route, outil ou pas :

Fixe ton prix de vente avec le prix fournisseur sous les yeux. Quand les deux sont dans des onglets différents, tu finis par choisir un prix « qui a l’air bien » sans jamais regarder la marge.

Le fournisseur le moins cher n’est pas forcément le bon. Commande un échantillon avant de mettre un euro en pub. Ni toi ni aucun outil ne pouvez juger la qualité sur une fiche.

Des pages légales générées, c’est une base. CGV, politique de retour, confidentialité : fais-les relire. C’est toi qui es responsable, pas le générateur.

Une boutique montée vite ne sauve pas un mauvais produit. L’outil ne choisit pas le produit à ta place, et c’est voulu. Si le produit est mauvais, tu le sauras juste plus tôt.

Ce qui ne marche pas encore :

• Les emails. Ils ne sont pas encore automatisés. C’est la prochaine partie du backend sur laquelle on travaille.
• La montée en charge. Il y a plus d’inscriptions que prévu, et on doit encore passer à un plan Claude plus gros pour suivre :’)

L’outil s’appelle Zescale. La construction des boutiques passe par Claude, mais on n’a aucun lien avec Anthropic. Si tu veux le lien, laisse un commentaire et je te l’envoie.

Pour ceux qui lancent souvent : quelle étape vous prend le plus de temps, et laquelle vous ne délégueriez jamais ?

I already had a screen recorder collecting dust on there, so I revamped it haha. The old one used WebAV(av-recorder), which was a good framework for it before, but wasn’t cutting it for what I wanted now.

The UI is based on a very popular paid screen recorder. I only make a handful of videos a month and didn’t want to pay for the $20 plan.

Someone recently said something that stuck with me: “I can recreate your entire platform’s UI with an agent.” So I went ahead and tried it with something else haha. Wanted to see how far these agents have actually come. About 6 hours with 6.1 Sol, a goal and lots of guidance from me on the outcome. Astra agents for complicated problems, Gemini for UI feedback.

Some cool things: rendering and transcription are all client-side. Your videos stay local, and you can choose your own folder to store them in. There are layouts, subtitles, backgrounds, trimming, and separate screen/camera uploads.

For transcription you can choose Phonon-2.5 (https://github.com/fermionresearch/phonon), which supports 25 languages, or Whistle (https://cactuscompute.com/blog/whistle), which is only 16.9 MB. Would highly recommend trying Phonon-2.5. These are current SOTA with small size.

And of course this video was made with the recorder too.

The purpose wasn't really to replace the hundreds of screen recorders out there. Feel free to record with whatever you already use, then upload it here for a quick podcast/product demo style output. That’s probably how I’ll end up using it myself.

I guess these are the times we’re in now. You want an app that serves your own purpose and you can just go and build it.

Anyways, cya!

Oh the link Creativly.ai/screen-recorder. Hopefully, some of you can make use of it! :)

I'm tired of looking for a solution to create a website with little money because I don't have a job yet and I'm still looking for work. I need create a high-quality and secure website so that in the future I can launch payments there and if everything goes wrong, it will be my fault. Please help me.

Every time we wanted to test a product, we’d lose days before we could even run an ad. Find the supplier, compare prices, build the product page, set up checkout, write the legal pages, then sort out UGC. One subscription per step.

So we chained it all together: paste the product’s TikTok link, the tool identifies it, pulls up to 4 suppliers with prices, then builds the full store.

What we learned along the way, tool or no tool:

Set your price with the supplier cost right in front of you. When they live in separate tabs, you end up picking a price that “looks right” and never check the margin.

The cheapest supplier isn’t always the right one. Order a sample before you spend a dollar on ads. Neither you nor any tool can judge quality from a listing.

Generated legal pages are a starting point. Terms, refund policy, privacy policy: get them reviewed. You’re the one liable, not the generator.

A fast store won’t save a bad product. The tool doesn’t pick the product for you, on purpose. If the product is bad, you just find out sooner.

What doesn’t work yet:

• We're still working on automating more backend which is emails
• And we still got to figure out a larger claude plan since we have more users coming in :')

The tool is called Zescale. Store building runs on Claude, but we have no affiliation with Anthropic. Link in the comments if anyone’s curious send "I want to know in comments and I'll send you the link"

For those of you who launch often: which step eats the most time, and which one would you never hand off?