A lot of startup tools are incredibly capable but you still end up spending a ton of time figuring out how to apply them to your business because onboarding usually teaches you where everything is not what you should be doing with it.

I’d like to see more companies pair their software with like a tutor or real situation demos showing the problem it solves and how it can help shape the workflow or strategy around it especially for early stage teams since that kind of expertise could be worth more than another dozen features.

Im foundation treasurer. Our youth literacy programs appear in standard searches but rarely in AI answers for local giving queries related to our location and niche. TBH with minimal staff and no budget, we hesitate to experiment but I want do all possible to increase our AI citation rate. Maybe anyone already used concrete GEO tactics and seen measurable gains? I seek practical evidence and want to discuss it. I know that this topic is kinda spammy now because many ads around that and so on, but thats all just white noise, IMO. I read dozens of articles on that topic but they all written by AI and don't provide any value. Just generic stuff with general information on topic. Anything I should know besides basics?

tnx in advance =)

Hello, I'm building a discovery led platform-sorry can't talk much about it here. Looking for a genuine techie who can build this platform from scratch. I am not from a tech background so I have no idea how much will this whole project cost me for now. Open to working with freshers, students who are serious about building an MVP from scratch.

Just to give a little context- met with a very known and famous Indian investor (portfolio worth 600 Cr) last week and took him through this idea of mine and he loved it. As per him the idea is very different & unique and not the usual pitches he gets.

So anyone who is ready to build something for India and take it the world, this is your chance.

Happy to offer equity :)

Let's build something great together.Cheers!

Kindly DM

Hey folks. I have recently started my own firm with an idea of "Fixing what is currently broken in the software world". The problem is i have been a developer and now a Project Lead, but i dont have any knowledge how businesses run, where to find client.

I wanted to know if you guys can help or guide me with any insights on what can I do now when I have the team and vision ready and I wanna show/tell the world that we are here to help.

I’m working on a startup idea called MyYearMovie.
The core idea is simple:
For 365 days, an AI Director follows your life, remembers the important people and events, and turns your year into a personal book and a short movie.
The user can speak or type.
The AI should remember:
people and relationships
important events
changes in your life
unfinished stories
recurring themes
personal turning points
So if you mention someone in January, something happens with them in May, and they appear again in October, the AI understands that this is one continuing storyline.
At the end of the year, the user gets:
📖 A personal book about their year
🎬 A cinematic short movie based on their real life
Users could upload photos of important people as visual references. If they don’t want to upload photos, they could describe the person and the AI would create a consistent visual character for the movie.
For the MVP, I want to start much smaller:
voice/text entries → AI memory → character tracking → monthly story recaps → short cinematic trailer
I don’t think the main innovation is AI video generation.
The main product is the combination of:
AI memory + personal storytelling + real life + generative media
I’m currently looking for:
a technical co-founder
AI / LLM / memory-system developers
mobile app developers
people experienced with generative video
early-stage angel investors interested in consumer AI
I’d also really appreciate honest feedback.
Would you use something like this for a full year?
And what would be the biggest reason you would stop using it?
If you’re interested in building, investing, or discussing the idea, feel free to DM me.

Selling my first startup.

Built from scratch and already has:

→ 1,600+ users

→ 900+ creators

→ ₹2.5L+ in creator sales

→ 15–20K monthly traffic

→ Live product, payments & infrastructure

→ Zero paid marketing or ads

It’s a working business with real users and transactions, not an idea, MVP, or pitch deck.

I’m selling because I want to focus my time and energy on a new venture where I can build with a different direction and long-term focus.

I’m looking for a serious buyer who can take it to the next level with better distribution and growth.

Know someone who might acquire it? I’m also open to paying a finder’s commission for a successful introduction that leads to a deal.

If you’re interested or know a potential buyer, DM me. Serious inquiries only.

I have been working in the software space for a decade now and over the years I have realised how fast things move here but still everything seems slow. We are in the AI world but the apps I am still working on are from 1980's era using the same old techniques which just make them a frustration. Business know this but they are unable to find ways on how to improve them, even if they do find, they are afraid of the existing clients and dont wanna do it. I want to change that. So i have started this

https://devpth.com

I want to end this frustration where an application is still running on a decade old technology and everything seem sluggish in it.

We’re looking for a strong appointment setter to join our team.
This is NOT cold calling.
You’ll be working with warm, qualified leads that come directly into our system. Your job is simple:
Call quickly → have a natural conversation → build rapport → book the appointment.
What You’ll Be Doing
Leads come directly into our system.
Call each lead within 10 minutes of them coming in.
Have a natural, casual conversation.
Build genuine rapport instead of jumping straight into a sales pitch.
Explain our offer when needed.
Handle basic questions naturally.
Move the conversation toward an appointment.
Book qualified leads onto a meeting.
🚫 We DON'T Want a Typical Salesperson
If your approach sounds like:
“Hi, my name is ___, I'm calling from ___, how are you today? I'm reaching out because…”
...this probably isn't for you.
People recognize scripted sales calls immediately.
We want someone who can actually talk to people.
Someone who can:
Make prospects feel comfortable
Build a genuine connection
Keep the conversation relaxed
Think on their feet
Handle the conversation naturally
Transition into the appointment without making it feel forced
The goal isn't to sound like a salesperson.
The goal is to sound like a normal person having a conversation.
Requirements
Excellent spoken English
Natural US-sounding accent / very strong US English
Comfortable speaking with US business owners
Strong communication and rapport-building skills
Fast response time — calling within 10 minutes is critical
Previous appointment-setting experience is a plus
Must sound natural, not scripted
Reliable internet
Quiet environment for calls
💰 Compensation
Hourly pay.
You'll be paid based on the hours you work.
We're looking for someone reliable who can consistently handle incoming leads quickly and professionally.
Interested?
DM me with:
Your appointment-setting experience
Where you're located
Your hourly rate
A short voice recording of you speaking English
We're specifically looking for someone who can build rapport and have a real conversation, not someone who just reads a script.

Post:

I've built an app for discovering genuinely handmade products from independent artists and makers.

I think there's a gap because many big marketplaces now feel increasingly full of mass-produced products and resellers, while some incredible independent makers are scattered across Instagram and are difficult to discover.

The app is basically Instagram-style discovery for handmade products — you browse a visual feed, find something you like, see more from that artist, and connect with them directly.

I've already found some amazing artists/products to showcase and the app is built. My problem is: how do I actually get the first users?

I'm starting with basically zero audience, so I'm curious how others would approach the chicken-and-egg problem.

Would you focus first on recruiting artists, Instagram/TikTok, SEO, getting artists to share it with their audiences, or something else?

Would especially love to hear from anyone who's taken a marketplace/discovery platform from 0 → first 100/1,000 users.

Last night we opened World-Sim to anyone who wanted to look. 326 of you came. Thank you — genuinely, that is far more than I expected.

For anyone who missed it: it's a persistent world that runs whether or not anyone is watching. Households live, pair off, learn things, argue, starve, bury each other and move on.

Some of you named a star, and some named a person in the world. Those names are permanent — the souls carry them for the rest of their lives and into the chronicle after they die. There's still time to claim either, both are in the Discord.

It's free, there's nothing to install, and it's still running right now: world.world-sim.uk

Happy to answer anything about how it works underneath.

Slydr is simplifying the gifting process. Be it B2C or corporate. Using Slydr, one can send anyone a gift. No address is needed.

We want to partner with 3-5 startups operating from India. We will offer them free gifts which they can give away to their employees for whatever reason they choose. Milestone achievement, birthday or whatever.

T&C apply.

We've spent the last few months building a memory layer for AI, and the biggest surprise so far isn't technical. It's that "memory" means completely different things to different people.

Vannevar Bush wrote about the Memex back in 1945, a machine that would store everything you'd ever read or written and let you retrace your steps through it. That's basically the dream we're all still chasing 80 years later. But there's a distinction Bush didn't have to deal with that we think about constantly: machines and humans don't need memory for the same reason.

Humans need to recall. We already know the thing, we just need a nudge to bring it back. A photo, a smell, a half-remembered keyword, and the rest floods back. Human memory is reconstructive, not a filing cabinet.

Machines need to remember, full stop. An AI doesn't have a "tip of my tongue" moment. If the fact isn't stored and retrievable, it doesn't exist for the model at all. There's no reconstruction, no nudge, no half-memory to work with.

That difference matters more than it sounds. A lot of memory products today are built like recall tools (search, tags, "jog your memory" style UX) when what the AI actually needs is closer to a database with judgment. It has to remember things it was never shown twice, connect facts it didn't experience, and know what's actually load-bearing versus noise.

A few other things we keep running into:

• Most "memory" features today are really just longer context windows. That's not memory, that's a bigger notepad.
• People trust memory less the more invisible it is. If they can't see what's stored, they assume the worst.
• Nobody agrees on where memory should live. Per app? Per device? Following you everywhere? All three have real fans and real haters.

We don't have this fully figured out, which is honestly the fun part. If you've used any AI tool with memory (ChatGPT, Claude, whatever) and it's ever gotten something wrong or weird, we'd genuinely like to hear about it. That kind of failure is usually where the interesting design problem is hiding.

What's your take? Should machines be trying to recall like we do, or is remembering everything actually the right model for them?

A startup was spending $9,000 on Meta ads. 640 installs. 8 people actually used the app.

That's a 1.25% activation rate.

They didn't have an ads problem. It was their funnel towards the end that was an issue.

So in the end they stopped ads before fixing the main issue.

Three things they were missing that I see constantly with early-stage apps

Fix activation before touching acquisition. If under 20% of installs do the thing your app is supposed to do, no amount of ads or marketing will saves you.

Team sitting on best acquisition channel/s. They had a LinkedIn, a real point of view, and a target customer who's specifically burned out on every other app in the category. "Here's why we built something different" from the actual founder converts better than any ad in a skeptical audience.

Product has shareable output but no content. If your product generates a result a report, a score, a visual , then that's your organic content engine. Design a share moment into it.

Happy to look at anyone's numbers in the comments if you want a second pair of eyes.

Just wanna share what i've read, a common stumbling block for early-stage startups scaling past their first few dozen customers is trying to build an enterprise-level CRM on day 1. According to onboarding data from Hubspot’s startup community resources, teams that keep their initial pipelines simple, focusing on just 4 or 5 core deal stages (e.g., Prospect, Demo, Proposal, Closed-Won), tend to maintain cleaner forecasting data than those with 12 custom stages.

Pretty sure some founders have went through this growth phase and its okay. Lessons learned, what do u think is the number of pipeline stages you actually use before it starts muddying your conversion metrics?

Hi everyone,

I run a financial advisory firm for early-stage founders in Dubai, providing financial support and advice at affordable prices.

For the next stage of my business, I would like to develop a tool specifically targeted at improving the bookkeeping process for founders who don't have a financial background. Many of my clients say that this process is confusing and difficult so I want to create a tool that is beginner-friendly, faster, accurate, and much cheaper than hiring a separate bookkeeper.

This is where you guys come in. I would like to listen to your real experiences of managing a business or starting one and hear your pain points regarding the bookkeeping and accounting process.

DM me with your insights.

First 20 people to DM will get the tool for free. Everyone else will get a free financial consultation.

Thank you for your time.

Looking forward to hearing from you all!

Hi everyone,

I'm Aniruddh, a 15 year old building Consecuencia, a deterministic engineering intelligence platform for aerospace.

The problem I'm trying to solve is one I've seen come up repeatedly in aerospace and other safety critical industries: engineering decisions are documented, but the reasoning behind them gradually gets lost. When requirements change, suppliers update parts, new test results arrive, or designs evolve, it becomes difficult to understand what is affected and whether the original decision is still valid.

Consecuencia is designed to help engineering teams:

• Retrieve the reasoning behind past engineering decisions with complete traceability to supporting evidence.

• Understand downstream impacts before implementing design, manufacturing, supplier, software, or configuration changes.

• Continuously monitor whether previous engineering decisions remain valid as new evidence, test results, design revisions, supplier updates, and quality events emerge.

Unlike probabilistic AI systems, Consecuencia does not invent evidence. Every conclusion must be backed by engineering records, and if the required evidence does not exist, it explicitly reports that.

I'm looking for honest feedback from engineers. Does this solve a problem you've experienced? If not, what am I missing? If yes, how are you handling it today?

I'd really appreciate your thoughts, criticism, and suggestions.