AI agents and automation

Built an AI voice startup, got early traction and pilots, but still at $0 MRR. My CTO had to leave and now I’m struggling to balance GTM and tech. I’m the founder of SoftTalk, an AI voice SaaS startup. We’ve built a working product and have had some early traction. We got multiple companies interested, ran pilots and even had real voice agents talking to their leads. I come from a B2B SaaS sales background, so GTM hasn’t really been the biggest challenge. When my CTO was around, I could focus almost entirely on GTM while he handled the product and technology side. That’s when we started getting momentum. The problem is that my CTO had to leave midway because of employment related issues. There’s no bad blood, I understand his situation, but now I’m trying to handle both the product and technical side while also doing GTM. I’m not an engineer, so I can manage developers and understand the product, but I can’t realistically be the CTO and the person responsible for GTM at the same time. The result is that GTM has slowed down, even though we were seeing some momentum before. The other reality is that we are still at $0 MRR. So I’m now trying to figure out the right move. Do I find another technical cofounder? Do I hire engineers and continue as a solo founder? Do I focus on converting the existing pilots first? Or am I missing something bigger about the business? I don’t think the main problem is that we can’t sell. We’ve been able to get meetings, generate interest and get companies to run pilots. The challenge is turning that early traction into repeatable paid revenue while I’m also covering the technical side. Would love to hear from founders who have been through something similar, especially if a technical cofounder left after you had already built the product and started getting traction. Also open to connecting with technical founders who might be interested in exploring a cofounder opportunity in AI voice / conversational AI. Happy to share more details in the comments.

How they grewmeetings, company interest, and pilots

I know its not much but…..21 SIGHNUPSSS Hey everyone! It's been about a year and a half since I first sat down and started building Zeneno, and around two months since I started trying to get it out there. It's been a long journey, and I wanted to make this post to celebrate a milestone: 21 people have signed up for the waitlist and early testing!!! That's after pitching it to people and going to a few AI events (Not easy as an introvert haha). It might be a small number, but I've worked really hard on this and wanted to share it with you all. For context, Zeneno is an autonomous web app builder. With traditional AI coding tools, you work alongside the AI to build your app. With Zeneno, you hand off the entire project, close the tab, and come back later to a finished app. It handles the whole development cycle, from planning and coding to testing, debugging, and deploying the whole 9 yards hahaha obviously still a work in progress thus the beta but u get the idea I'm going to keep working hard to grow it, because I think it could be useful to a lot of people and that makes me happy. Being able to just say "here's the service I want to build" and come back hours later to a whole working service feels like such an awesome thing to have in 2026. I might post progress updates every so often! If you want to check it out, here's the link: https://www.zeneno.dev/ I'd love to hear your feedback, advice, or any stories of your own!

How they grewPitching it to people and going to a few AI events

I built the support tool I needed for my own SaaS. 10 free accounts if you'd like to try. hey team! Looking for feedback on a live support tool that I've been dogfooding for the last few months. I would love to find some other builders that are looking to add support to their website. If you'd like try it out - I have 10 accounts to give away on the solo plan 100% free, no time limit. Register a solo account and use the promo code "MICROSAAS" - would love any feedback on how it works. For me I run goodsign.io with a few thousand customers and I needed a tool that streamlined my support needs. For some of the biggest issues I had: - Ability to answer customer questions when I'm asleep as I have customers around the world. To get accurate ai answers, this is done via the MCP which generates a customer facing knowledge base from your existing code. Now customers can get answers quickly about any feature in your product. - Ability to solve bugs quickly. Using the MCP again. I can download the latest ticket, check it against the code base to see if it's a bug or issue and then the MCP can reply to the ticket. (this saves me soo much time). - Shared inbox for all my sites - makes it real easy to manage my support. would love your feedback.

How they grewDogfooding and asking other builders for feedback

Our first customer found us on Google, left after 3 days, then came back and paid We have been trying to get our first few customers through cold emails, DMs, outreach etc. and honestly nothing was really working. Then randomly someone signed up for our product. We had never spoken to this person before. He was not in our lead list, we never contacted him, nothing. So I asked him where he found us and he said Google. He started using the product on September 18th. He used it for a few days, then left and started using another product in the same space. I thought okay, we lost him. But 3 days later he came back and converted to our first paying customer. And now, just 7 days after he first started using it, this is what the account looks like: ₹3,19,266 Scout Generated Revenue 55 paid orders 1,727 conversations 978 conversations handled by AI 26.3% booked → paid conversion The funny part is that this is literally our only customer right now. For context, we're building an AI sales/support platform for Shopify and Instagram sellers. Instead of making sellers build rigid flows for every possible customer conversation, we let the AI handle conversations dynamically using 20+ tools for things like products, orders, customers and inventory. But the whole thing was interesting to me because I was spending so much time trying to find people and convince them to try the product, while this guy just found us on Google, tried us, compared us with other products, left, came back and eventually paid. Now I'm trying to figure out how to create more of these inbound journeys instead of chasing people one by one. For people who have gone from 0 → 1 and then 1 → 10 customers, what actually worked for you to get more inbound customers?

How they grewGoogle; cold emails, DMs, outreach

Launch a waitlist against meta’s muse on friday. 150+ signups, 20% conversion, zero ad spend. here’s what seems to work and what does not What it is: molebot.si. an instinct/muse style personal agent (reads your messages, calendar, files, nudges you when you owe someone a reply) except it runs on the phone and our server holds four columns: email, seat number, subscription flag, app version. privacy is the product. Numbers since friday, no ads: - 150+ signups. 20% visitor to email, 25% on reddit traffic. what worked: posting the architecture argument on r/artificial and r/ArtificialInteligence with the link in the first comment. a swiss sub (r/Suisse) did 18k views, my best channel by far, because "a local guy builds the anti-meta thing" is a story. answering every comment in the first 3 hours, conceding real limits fast. what didn't: "need-first" posts without a link. Great conversations, upvotes, ~3 visitors an hour. people don't go hunt your profile for a link. Some removed me for promotion. The scarcity thing: 500 founding seats, counter on the page. it moves with real signups Still open: how to price it. read is free, draft and send paid was the plan. a commenter suggested "send stays locked until the agent has produced 100 accepted drafts", which I love as a trust ramp, but it also delays the upgrade. thoughts from people who've priced trust before?

How they grewr/artificial, r/ArtificialInteligence, and r/Suisse; link in first comment; replied to comments fast

I changed one sentence on my paywall… and free trial starts dropped. Which version would you choose? I changed my paywall copy and got a weird result I have a small mobile app for n8n users and I changed the wording on my paywall a few days ago. Old one said: “Continue with Pro” “Activate my space” New one says: “Try free for 7 days” “Start 7-day free trial” Same product, same price. I thought the second one would work better because it's much clearer about the free trial. But so far I'm not seeing that. I checked PostHog again after 6 days. The old version had 146 users see the paywall and 6 start a trial. The new version had 164 users and also 6 trials. What's weird is that more people are clicking the new version (31.7% vs 27.4%), but that isn't turning into more trials. Small numbers obviously, so I'm not trying to draw a big conclusion from this yet. I'm curious though. If you saw both versions, which CTA would you personally prefer?

Aaron Delasy

@aarondelasy

dats mee!!! I started my own projects 8 years ago, since that time I built: - my own programming language - figma-like form builder - AI agents orchestration platform - desktop app to provide visual feedback for AI agents that was the time I saw @levelsio growing like crazy the biggest regret I have was not following my dreams and instead working for someone else yes I became a higher paid worker, but many indie hackers are now at 10k+ MRR and are set for life

SHIP OR DIE

@shipordie_

Treasure hit the deck. @jakebuildthings just received $10.00 for PrivBot. 💰 Total revenue: $4,154 📈 Last 30 days: $541 🔁 MRR: $555

Javier Castro

@Jcastromarchant

Zentrali just crossed $30K in monthly revenue 🎉 A year ago we were a team of 4. Today we're 18, with our models watching 100+ cameras across mine sites in Chile. No VC money. Just paying customers. Next stop: $100K 🇨🇱

Joseph P. Zanini III

@joezanini

I just hired a PM. She’s a Grok bot named Connie. I’ve been having too much fun running Lursa AI with bots as the crew. Debbie is the engineer. @lursa_ai MCP + Cursor SDK. CI/CD through an AWS IAM role. The Librarian keeps the graph library fresh and writes diffs straight into Neo4j Aura over MCP. I found open-source product-management repos, then had Devy build Connie a “brain” — a local directory she treats as long-term memory. Those repos stay off the Lursa library. No clear Apache/MIT license, no graph. Strict rule. Then I had Grok write the founding-PM prompt, pasted it into a new Grok bot, and named her Connie after a PM I actually liked working with. Honest bit: still no paying users. Backend isn’t free. If this doesn’t get profitable, I can’t keep the lights on. I dropped Connie into a group chat with Devy, Voice, Publisher, Scout, and the Librarian. They introduced themselves. They’re already arguing, approving, and shipping. Marketing, engineering, product — all bots for now. The goal is still humans on payroll. #buildinpublic #startup #AIstartup #LursaAI #Grok #AIagents #MCP #indiehackers #solopreneur #foundersjourney #productmanagement #developertools #Neo4j #sideproject

Son Le Thanh ⛴

@thsonvt

Three days ago, I started building Pippa. Today: five early users and my first community demo. 🚀 Pippa is a personal scheduling assistant you can message on WhatsApp. I’m building it to solve a problem I have myself—and learning in public as I go. Here’s how I’ve approached the journey so far: 🧭 Start with the user journey. What is someone trying to get done with scheduling meetings? What should the assistant ask, remember, and do next? That gives me a starting point for deciding what to build. 📋 Keep the work in one place. I use Linear as the single source of truth for bugs and features. Real conversations with the bot are already turning into concrete things to improve. 🛠️ Use OpenAI Codex intensively throughout the process. Brainstorming. Writing code. Building the landing page. Shaping the launch message. And, yesterday, preparing my presentation. Yesterday morning, I received an invitation to speak at the Agentic Night event hosted by GlobalAI SG community meetup at IMDA. By that evening, I was demoing Pippa. I spent about an hour preparing the slide deck and speaker notes with Codex’s help. 🎤 Several people wanted to know how I built the app. That’s the part I want to share more of: the customer journey, the decisions, the tools, and the bugs we discover along the way. It’s early. There’s plenty to improve. Having five people willing to try it gives me a much better way to learn what matters next. 🌱 Want to try Pippa and help shape it? Comment “EARLY” or send me a DM to join the early-adopter list. 👇

How they grewComment “EARLY” or DM to join the early-adopter list.

PromptSmiley 🟡

@Prompt0Guy

I TOLD GPT ASTRA TO FIND A MICRO-SAAS HIDING IN 50,000 ONE-STAR REVIEWS. IT FOUND ONE NOBODY WAS BUILDING. It now does $9K/month. I didn’t upload a spreadsheet or spend days reading reviews. I told Astra to find repeated, expensive problems customers were already describing, but the software companies kept ignoring. It scanned 50,000 one-star reviews across booking and scheduling tools. One complaint kept appearing: “My appointment was cancelled. I had people waiting. But filling the slot still meant calling everyone manually.” The software could manage calendars. It couldn’t recover revenue from a cancelled slot. So I built the smallest possible fix: A cancellation hits the calendar → Astra texts the waitlist → the first person to reply gets the slot → the calendar updates itself. No new booking platform. No CRM. Just a revenue leak getting closed in real time. 153 local businesses pay $59/month. $9,027 MRR. That’s the opportunity most people miss. The best micro-SaaS ideas aren’t hidden in trend reports. Bookmark this post. This week I’m sharing the full one of my workflows for free Follow me so you don’t miss the guide.

How they grewfound via scanned one-star reviews across booking and scheduling tools