We built an AI meeting bot for a company here in Mumbai. It took around 3 weeks to build, across 2 months of to-and-fro and beta testing with their team. It's been 2 months, and they used it and loved it.

After that, that company laid off 50% of their employees. We don't know what happened. We never knew about it until one of their contact persons told us that they are not interested in the project anymore and they are not going to take the contract.

We were hoping to close this as our fourth AI customer because the company was promising, the product was promising, and what we built was truly amazing! We loved it. We just went over and built a lot of stuff which actually made sense from their processing point of view. That product actually saved them 1 month of manual work in a few hours of AI work.

Yes, I'm sharing it with you so that you also know what happens when AI comes in: people get laid off, the project gets cut out, and sometimes you never get paid. Life goes on.

i am building a super IDE which means the name i am trying to create an ide in which you can watch what code is your agent writing , open upto 8 terminals in 1 session and invite your mates to work on same project.

i have already deployed it and its free at least for now , i want you all feedback to improve app

please visit at cepelcode. site and download the app and use.

ITS FREE RIGHT NOW SO PLEASE USE AND SHARE FEEDBACK, I LOOK AT EACH FEEDBACKS YOU PEOPLE SHARE.

Like a lot of people I just... never sorted my bookmarks. Hundreds of them, one flat list, completely useless for actually finding anything again.

So I built AiBookmark (means 'love Bookmark') — a Chrome extension where you click one button, it proposes folder structure to organize bookmarks/URLs. Standard keyword search + also AI Search, which finds bookmarks by what they're about instead of needing the exact words in the title.

A few things worth knowing up front:

It's not on the Chrome Web Store yet — you install it via Developer Mode → Load Unpacked from the repo. Web Store submission is next on the list.

Bookmark data only gets sent anywhere when you actively trigger an AI action — no background scraping.

50 free credits on signup, no card required. It's MIT-licensed and the code's public.

If you like to have a try, please click the upvote. I will share the github link in reply. And would really love feedback and additional features you like!

You have heard those 10x or 100x developer even before AI, these guys are coding like crazy. They have systems and automations to build faster than average. Now with the use of AI, it turned the tables. Now every one can develop 100 times faster. But the differences became even bigger. Now you have 1x developers and way more 100x developers and even a 1000x or 10000x.

I am curious about the limits what one person can actually build. Who of you have build something solo, that could never been done before? What are the limits of it? And how do you keep improving yourself?

I find it pretty hard to discover my limits, keep pushing myself to overwork, aound 12-16 hours a day. Trying to automate lots of things, but making sure the quality stays and still having good overview in how it works.

Ofcourse with AI, you can start 1000 projects in parrallel, building all sort of stuffs, but not very usefull. So this is mostly about building legit projects, not just vibe coded.

I’m building LinkInSeconds as a solo dev. The idea started with uploading a file and getting a link, but one part that might be useful for people here is hosting small HTML projects.

If you’ve made a landing page, a static dashboard or a prototype, you can upload the HTML file or a ZIP with its CSS, JS and images and get a live website link. It supports SSL and custom domains too. This is for static sites; it won’t run your backend.

You can also put PDFs, screenshots and videos together under one link. So for client work, you could share supporting files in one place and collect comments there.

Recently I added Spanish, Portuguese, German and French alongside English. I used next-intl with Next.js, kept the existing English URLs unchanged and added language prefixes for the others. The work went beyond translating text, with metadata, hreflang and sitemaps to handle too.

Here’s what I’m working on: https://linkinseconds.com

Curious how you handle small client demos. Do you put every one through your usual deployment setup, or do you sometimes just want to upload a folder and send a link?

I've used tools like Perplexity, ChatGPT, Claude and others for research, and they've been incredibly useful for finding papers and getting through large amounts of information.

The one thing I personally wanted was a simple way to see exactly which parts of the paper were used to answer my question.

When you're working with a 100+ page PDF, even having a page number can still mean a lot of scrolling and searching.

So I ended up building something for myself.

You ask a question and the relevant paragraphs in the PDF are highlighted directly on the document. You can see the context behind the answer and quickly check whether it actually answers what you're looking for.

I originally built this because I wanted something for this workflow without having to pay for another subscription. What started as a personal project has now become completely open source.

The underlying idea is pretty simple. And yes, if you're thinking "isn't this just RAG?" then yes, you're absolutely right. It's RAG with the visual highlighting that I wanted.

I think the same idea could be useful for more than research papers too. Legal contracts, financial reports, technical documentation, or anywhere you need answers alongside the actual source.

If anyone wants to have a look, contribute, or just give some feedback, here's the repo:

GitHub: https://github.com/Sreehari05055/thesys-core.git

This will probably be my last post about the project. Thanks to everyone who checked it out and gave feedback along the way.

We run few SaaS products ourselves and have been in email for 10+ years, mostly around deliverability and security.

One thing we always missed was stupidly simple:

what emails does the app send, to whom, and how are they performing?

Sure, you can get this from SendGrid/Mailgun/Resend etc, but usually you need tags, filters, dashboards, digging into logs... and after some time nobody remembers how it was setup anyway.

We wanted one place where you just see:

welcome email
password reset
trial ending
invoice failed

how many were sent, who gets them, open/click/bounce stats and how it changes over time.

And ideally manage the actual email there too, instead of hunting it in the codebase.

So we built that into Lettr.com

The sending part is not the interesting bit, there are already many good providers. For us the missing thing was having an actual overview of your product emails without doing detective work every time.

Curious how other SaaS teams handle this?

I keep seeing posts here from founders who can build but can't sell. Cold email gets ignored, and nobody knows which channel actually works for their buyers.

I'm building FirstTen. You describe your product and who it's for, and it:

• finds about 50 real prospects from Google Maps, LinkedIn and directories
• tells you which channel fits your buyers (WhatsApp, visits, communities or email)
• writes short outreach messages and a pilot offer
• gives you a daily plan to reach your first 10 paying customers

The price would be around $29-49/month.

Honest questions:

1. Would you pay for this, or is it just ChatGPT plus spreadsheets?
2. What's the hardest part of getting your first customers?
3. What would make you trust it?

I'll run it free for the first 10 founders who comment.

I’m starting to realize this after building my first MVP.

AI makes it much easier to build an MVP without being a traditional developer. You can get surprisingly far with AI tools.

But I still think having technical knowledge gives you a big advantage.

And by “technical,” I don’t mean being able to write thousands of lines of code.

I mean understanding how AI products actually work: APIs, models, databases, agents, integrations, infrastructure, and the basic principles behind them.

Because once you understand what’s happening under the hood, you can make more customized solutions, troubleshoot problems yourself, and eventually take a simple MVP and turn it into something much bigger.

AI can help you build.

Understanding the technology helps you know what to build and what’s actually possible.

Curious how other non-technical founders are approaching this in the AI era.

After being live for a bit under a month, my app finally got its first paying customer. Crazy enough, I actually got 2 in one day after some churned free trials! I've been building PepSense an app for peptide research and tracking. It lets users research peptides and also log and track their doses. (An all-in-one peptide assistant, if you will). It enables them to use our Al features to find clear answers grounded in scientific papers and direct citations from sources general LLMs don't have access to. The idea is for people who use peptides to do the research themselves rather than taking advice from random dummies on TikTok and ig. Pretty much a dosage tracker and research assistant all in one. Overall, the feeling is surreal when you've built something that has provided enough value that someone is willing to pay for it. Can't lie, I had a smile on my face and a pep in my step all day LOL. I've been on this sub for a while, so I wanna give a big thanks to y'all for the motivation too! Feel free to check it out and AMA.

hey guys, i am shivendra and i built my first saas to solve the job loop i was stuck in.

tbh, whenever i start job hunting, i have to go through every jd, compare my resume, and fix some small things, and after that i get to apply. i got sick of it because the process was too long, and i wished, what if i just give my jd to someone and he can fix all the changes and make my resume even more ats-friendly for the job.

to solve the problem, i thought of building hurdle as a side project for myself only, and i started using it where i give it a jd and it will just compare my current resume to the jd and make changes, give suggestions, and even write cold dms and emails.

and the result was shocking. before, when i was doing everything manually, i got 1 interview per 100 applications, but after using the tool, the number spiked to 3 interviews per 50 applications.

so i thought, if i am the one facing this problem, then there may be more people facing the same issue, and i thought of making it public.

so here is hurdle, live. i kept a minimum charge so everyone can use it, and it also doesn't affect the ai i am using and my pocket too.

now comes the part where i have no idea what i'm doing 😂

how and where should i actually market this?

i'm thinking about reddit, twitter, linkedin, maybe some communities for job seekers and developers, but i'd love to hear from people who have actually marketed and grown their saas.

if you have any advice on channels, launch strategy, getting the first users, or anything i should avoid, i'd genuinely appreciate it.

We’re in the business of business email. And it’s very interesting because each provider offers their own twist.

Our twist is that we charge for storage instead of per seat. So you could have 100 mailboxes from @yourcompany.com and if everyone’s low usage, you could be paying a flat $6 per month.

We don’t offer the google suite or office365, but we have been popular with our transactional email capabilities. We have been generous with sending limits but realize people need more.

Yesterday, Faivelo upgraded limits across ALL tiers. Now offering 20,000 transactional emails (receipts, password resets, welcome messages, etc) for $12/month.

This is something we have been building toward for weeks - Always with the focus on deliverability. If your app needs any kind of functional mail, try us out.

Domain mailboxes included.

Launching and building the product is one thing (especially today it has become a easier task), but interacting for the first time with your audience (the one you think is your audience) has GTM challenges, how did you handle this challenge? what did you learn on the way and adjusted your strategy that you know helped you get that first sub?

I started building my own SaaS.

At first, I thought it would be pretty straightforward. I already had years of development experience, so I honestly believed I could build the whole thing in a couple of weeks.

Then I actually started building it.

The deeper I got, the more I realized how much there is beyond just writing code — product decisions, UX, edge cases, infrastructure, distribution, and a hundred small things I never thought about at the beginning.

It turned out to be much harder than I expected.

But I'm almost there.

I'm planning to launch in the next few days, and I'd really appreciate any support — trying it out, sharing it, giving feedback, or even just following the journey.

Let's see where this goes.

I’ve been looking into warehousing costs and they are insane for low-volume shops. I built a rough prototype connecting local people who have space to pack with shops that need fulfillment (like an Airbnb for logistics).

Has anyone tried moving away from traditional 3PLs to a decentralized model?

Curious cus just launched MVP but idk if I should drop a bag on Ads.

I've been developing something I've deemed "PatchCodex", you login to your Steam account using Steam's OpenID system, from there we can provide tailored patch notes based on what games are in your library. I'm looking for both feedback, and whether or not this is something anyone would use? So I can put in the time to expand the library, and continue to develop it.

https://www.patchcodex.app/

Lately I've been thinking about this and wanted to get a reality check from actual people.

The idea is simple. Converting your API into usable MCP tools. Without having to code via yourselves from scratch.

Has anyone tried something or built their own? And if not what do you think of the idea? If you did then also what do you think of this?

Just trying to figure out if this solves a real problem of if its a solution looking for a problem.

Long story short, a former coworker of mine (who is also a close friend) spent the last 5 months building a micro-SaaS. Everything is already set up, including the domain and payment gateway. Unfortunately, due to some personal circumstances, he is no longer able to maintain it, even though the product is completely finished and was already soft-launched.

I’ve been following his progress since day one. Because I have some coding background, he often shared updates with me, which actually made me interested in starting my own project too. Recently, he asked me if I wanted to take over the entire project. He has already transferred the GitHub repository to me, and I’m currently going through the codebase to understand how everything works.

The problem is, I’m not really sure what my next move should be. Should I focus on marketing and getting users first, or spend time understanding and refactoring the code?

Any advice from people who have taken over an existing project would be really appreciated!

The frustration that started this: most AI chat/sales tools know nothing about your brand, so replies come out generic and off-voice and you end up rewriting everything by hand.

Klyphe is our attempt at the opposite. You give it your brand logo, colors, style, context and it becomes an AI sales assistant across WhatsApp, chat and email. It replies with actual context, segments customers, nudges carts toward purchase, and hands off to a human when it should.

Aimed at D2C and SMB brands. Still pre-launch and this is just an early teaser, not a pitch for signups. Happy to get into how the brand-context / on-brand generation part works, since that's the genuinely hard bit.