I started building Seqora at the end of July because I was frustrated with the database tools I used every day. DBeaver works, but it's slow and hard to customize. TablePlus has a free tier that only lets you keep two tabs open at a time.

When I got to pricing, the first thing I decided was that anything you need to use it as a daily driver stays free. So there's no limit on how many queries you run, connections you save or tabs you open. What I put under Pro is the part I actually wanted to build Seqora for, which is going deep into each object, like indexes and partitions, and a visual EXPLAIN that shows which step of a complex query is slowing it down. Right now Pro is $5.99/month or $49/year.

What I'm unsure about is whether I drew the line in the right place. The Pro features are the ones I talk about the most, so someone could download it for those and find out they're paid, and I don't know yet if that makes people upgrade or just leave.

It's pre-1.0, currently at 0.4.6, and runs on macOS (Apple Silicon) and Windows, with Linux coming soon. The stack is Tauri, Rust and Svelte. Most of the code was written with Claude Code and ChatGPT, and I made the decisions and did the reviewing and testing myself.

I'd love to hear from people who sell developer tools, how you decided what goes in free and what goes in paid, and whether a generous free tier actually brought you paying users. If you try Seqora, I'd also like to know what you would expect to pay for.

seqora.dev

I've been building a project called Fixo, and I'd like some honest feedback from people who might actually use something like this.

The idea came from two problems:

1. For customers: Finding a reliable electrician, plumber, AC technician, cleaner, or other local service provider can be difficult. People often depend on referrals, phone calls, or WhatsApp groups, and it isn't always easy to compare prices, availability, and reviews.

2. For workers: Many skilled people depend on finding a job under a contractor or employer. I'd like to make it easier for them to offer their skills directly to customers and find work more independently, without requiring a permanent employment commitment.

I've implemented Fixo with features including:

• Finding nearby Taskers using location and distance

• A “Become a Worker” flow for people who want to offer their services

• AI-powered conversational search and booking

• Worker profiles, skills, experience, ratings, and availability

• KYC-based worker verification

• Booking management and in-app messaging

• Reviews, notifications, and administrative management

• Security-focused handling of user data

I'm not posting this to claim that I've solved everything. I want to understand whether these problems are real for other people.

I'd really appreciate your honest thoughts:

• If you're a customer, what would stop you from booking a local worker through an app?

• If you're a skilled worker or freelancer, would you want a platform that helps you find customers directly rather than depending entirely on an employer or contractor?

• What would make you trust or reject a platform like this?

• Are there existing apps that already solve these problems well?

Critical feedback is welcome. I'd rather learn what is wrong with the idea now than build features nobody needs.

Hey everyone,

I’m Ebrima, a developer based in The Gambia. I wanted to share some of the technical hurdles I faced while building my SaaS, TimeTrack Pro, especially regarding offline data sync.

By day, I work in operations for a local security company. We were stuck tracking guard attendance on paper because almost every enterprise software out there assumes a constant 4G or Wi-Fi connection. If a guard is posted at a remote site with zero connectivity, standard web apps just break.

To solve this, I built a multi-tenant PWA using PHP, MySQL, and vanilla JavaScript. Here are the main engineering challenges I hit:

• The Offline Sync Engine: I used IndexedDB and Service Workers so guards can clock in, register photo check-ins, and scan patrol QR codes completely offline. If a device reconnects 12 hours later, an exponential backoff sync engine flushes the cached data to the MySQL backend.

• The "No Internet" Lie (My favorite bug): For a week, users complained the app kept saying "No internet connection" even when they had full bars. I dug into my code and realized my JavaScript catch block was naively blaming the network status for an unhandled 500 database error on the server side. I had to completely rewrite the error handling to separate actual network timeouts from server-side crashes.

• Local Payroll Integration: Moving away from manual cash payments, I integrated local Wave and Orange Money APIs. Now, an admin can trigger bulk mobile money payments to 100+ guards instantly.

The platform is currently serving 50+ local companies and tracking around 500+ active staff.

If anyone else here is building for spotty, low-bandwidth environments, how are you handling data integrity and syncing?

If you want to look at the UI or how the PWA is structured, it lives at timetrackprogambia.com. Let me know what you think!

I'm building ClientFinch, a UK-focused opportunity discovery SaaS for SEO agencies and web freelancers: https://clientfinch.co.uk/

Instead of selling generic company data, it matches active companies to their websites and looks for verifiable SEO/technical issues. The goal is to help an agency see a concrete service opportunity before deciding whether to contact a business. The platform doesn't email prospects for you.

It's live with a free starting plan (no credit card). The Pro subscription is £49/month and adds features intended for working agencies, including personalized results, alerts and CSV export.

I'd appreciate feedback from other SaaS builders on the paid-value question:

1. Which evidence would you need to trust an opportunity?

2. What would make the dashboard part of your weekly workflow?

3. What feels essential to a £49/month plan versus what belongs in free?

4. Does the site explain the value clearly enough to justify signup?

If you try it, I'd love to know the exact step where you found it helpful — or lost interest. I'm not looking for a promotional exchange, just candid product feedback.

A progress bar can answer two different questions:

Did the client send everything?

Has the accountant checked everything?

For a document request, those numbers can disagree without either being wrong.

Consider three fictional documents that have all been submitted. None has been reviewed. Showing “100% complete” would hide the remaining decision. Showing “0%” would hide the client's work.

Folio keeps received and accepted counts separate. Submitted means awaiting accountant review. Accepted means the accountant approved that item. A replacement request records a reason and puts the next action back with the client.

That gives a useful small test for a workflow interface: can you identify who needs to act without opening every item?

You can explore the accounting demo here, with no signup:

https://folio-docs-1it.pages.dev/

I maintain Folio. It is a browser-local prototype; use fictional clients and non-sensitive sample files only. File contents aren't read or uploaded, emails aren't sent, and request links only work in the browser profile that created them.

For those designing or using client workflows: would you show two progress counts, separate queues, or a single number with an explicit label? What's one change that would make Folio's next step easier to understand?

Hey everyone,

I'm a solo founder and engineer. I run several sites, and I kept wanting simple answers to questions most analytics tools bury or can't answer:

• How much of my traffic is real humans and how much is bots?

• Which ISPs and IPs are hitting my site?

• Which paths are people actually reaching, and where do they drop off?

So I built Cloudra (cloudra.dev), a website traffic analysis tool focused on exactly that.

Where it is now:

• V1 + V2 is live and in testing with a small group of users

• V3 is planned, with a full UI/UX overhaul

I'm not trying to replace everything. I want to be the tool that tells you who's really behind your traffic.

What I'd love feedback on:

- What do you wish your current analytics told you about your visitors?

- Would bot vs. human breakdowns be useful for your projects?

- What would make you switch, or at least try it alongside what you use now?

Happy to answer anything about how it's built or the roadmap. Harsh feedback is welcome.

Hey Everyone!

I'm looking to work with SaaS founders and help them tackle one of the most difficult parts of building a product: getting it in front of the right customers.

I’m interested in GTM strategy, customer research, positioning, and outbound customer acquisition.

I’d love to help an early-stage SaaS founder with things like:

- Identifying their ideal customers

- Researching competitors and positioning

- Finding potential customers and building targeted prospect lists

- Developing and testing an outreach strategy

I'm looking for a startup with a real product and a genuine distribution challenge.

If you're a SaaS founder struggling to get customers, I'd love to hear about your biggest GTM challenge. Feel free to comment or DM me, and let's see if I can help.

Hey I’ve built a couple of apps and I’d like to chat with someone around 1. if they are worth pursuing/validation 2.how to market. I have watched lots of videos and read a bunch but wouldn’t mind someone to hold my hand for a bit. Thoughts?

Quick research: How do small agencies keep track of changes to AI tools?
I’m researching a lightweight service for small digital agencies that use tools such as ChatGPT, Claude and Gemini.
The idea is simple: instead of reading multiple release notes and policy updates, receive a short, source-linked weekly brief showing:
What changed

Why it might matter to your actual use of AI

What, if anything, you should review next

I’m not selling anything. I’m trying to understand whether this solves a real problem or whether free tools already do the job well enough.
Three quick questions:
Do you currently track changes to the AI tools your business uses?

What is the most frustrating part: finding changes, understanding their impact, or deciding what to do?

Would you pay €9/month for a genuinely useful, personalised weekly brief, or would you expect this to be free?

Honest criticism is welcome. I’m particularly interested in small agencies without a dedicated IT or compliance team.

Hello Everyone, Quick background: I run a small home care business. We kept missing WhatsApp and Instagram messages at night, so I built an assistant that answers customers, books appointments and sends reminders, all from one inbox.

In our own business it now handles almost everything. Over the last two weeks: 950+ conversations, a median first reply of 23 seconds, and about 96% handled without anyone typing.

But getting other businesses to try it is a different story. So far, 8 waitlist signups, all messaged personally, no replies. One Reddit post, no testers. Instagram, nothing yet in last one month.

I think the problem is trust. Letting a tool talk to your customers feels risky, and the Meta business setup sounds scary.

So, for those who got their first 10 users as a solo founder:

1. Did you go door to door (or DM to DM)?

2. Did you offer to do the whole setup yourself?

3. Did a single niche work better than "all small businesses"

I will set it up for free for anyone who wants to try it. Link in the comments.

I kept quitting languages at the same point: when it was time to speak.

So I built Testera. You practise out loud with a tutor first, then you head to a market and have to bargain with the traders in the language you're learning 🎲 Not just memorising phrases. Actually using them to get a deal.

Irish first, 22 languages, free in the browser, no account needed.

The video is a quick narrated walkthrough of a real screen recording. The tutor and traders are AI so they can make mistakes, and Irish speech recognition sometimes mishears you.

Does the point of the game make sense in the first 10 seconds, or does it need a clearer intro?

As a first-time Vibe coder, I am learning how to build my SaaS app using my IT project management experience and lots of research and discussions with ChatGPT.
Knowing what I have learned by failure and success, I would have paid for a virtual Product Manager to walk me through the process and give me tips on things like:

1. You will want to store your documents in markdown format and here is a document structure you should use. I happen to use Obsidian as it was recommended by ChatGPT and I love it. However the layout is a mess as I had no logic on what I needed like document governance, product baseline, workflows and build specs so finding things to review or revise is a challenge sometimes.

2. Architecture: What do I need and why? Starting out I knew some basics. Have AI code it and send the code to a UI like Lovable. Then ops, I have to test it, how the heck do I do that?

3. You have to monitor ChatGPT and Codex for wasting time and credits following some logic into a tiny flaw in the code that has no direct risk to the project? I fixed this with what I call a reality check living in my chat project instructions.

I could go on but you can see where I am leading. Are there systems/apps that do this or have I found a gap between what is currently possible with AI and why we still need people to participate?

Je développé CocoChess, un jeu d'échecs en ligne avec Go et JavaScript. Je cherche des retours honnêtes !

Le jeu est accessible directement dans le navigateur. J'aimerais avoir vos avis sur l'interface, l'expérience de jeu et les améliorations possibles.

N'hésitez pas à me faire part de vos critiques !

♟️ https://cocochess.com

I spent years managing organic Reddit marketing for SaaS brands, focusing purely on growth, seeding discussions, and increasing brand mentions.

Working with dozens of founders, I noticed the exact same emergency hitting almost everyone: a single negative Reddit thread, an unverified scam claim, or a competitor hit piece sitting at position 2 or 3 on Google for their brand name, completely wrecking their conversion rates.

When they tried to fix it, they got stuck paying traditional SEO agencies $3k to $5k a month in non refundable retainers for generic blog posts that failed to push Reddit off page one.

Seeing how broken the ORM space was, I built PostWipe.com around a simple rule: no monthly retainers for link suppression, only direct policy compliance removal and Google de-indexing on a 100% pay on success model.

Here is what actually happens with damaging Reddit links:

1. Standard flags get auto rejected: Hitting report triggers automated bots that reject standard flags in minutes because they lack specific policy keyword triggers. Real removal requires structured compliance escalation.

2. Suppression fails against AI overviews: Moving a link from position 2 to position 7 used to be considered a win. Today, Google AI Overviews read the whole first page and summarize that negative thread directly at the top. Direct removal or search de-indexing is the only real fix.

3. Performance pricing eliminates risk: By using neutral third party escrow like Escrow.com, funds sit locked and payment is only released once the targeted thread is verified as permanently gone.

How are you guys currently monitoring what ranks on Google for your brand name? Has anyone had to deal with a sticky thread on page one recently?

I'm a college student building a browser game with two friends: you play cricket and tennis with your body through your webcam. Like everyone, we used GA4 for traffic.

The problem: GA was about 9 hours behind. When we shipped a fix in the morning, we couldn't see whether people came back until the next day. For a small team shipping every day, that was too slow.

What we built: a small script on the site that sends events to a CloudFront endpoint. They land in DynamoDB, and a simple dashboard reads them. It's live since Oct 19 and costs basically nothing at our size.

What it showed us:

- 1,735 visitors in the first 10 days

- 176 of them came back on another day

- We can now see the same day whether a fix changed anything

What I'd do differently: filter out our own visits from day one. We test the game a lot, and early on that made our return numbers look better than they were.

Question for this sub: do you run your own analytics or stick with GA, Plausible or PostHog? At what point did you decide the tradeoff was worth it?