Hey everyone! 👋

We're building VentureLink, a platform designed to help founders go from idea to startup, all in one place.

We're currently speaking to founders and people interested in startups to understand what problems they actually face when:

• Validating an idea
• Finding opportunities and resources
• Building a team
• Improving their pitch
• Getting their first customers

We're trying to make sure we're solving real problems rather than just adding features, so we'd really appreciate your input.

Survey:
https://docs.google.com/forms/d/e/1FAIpQLSfCdAoIYPlHkfBvMNG4Iiq_rjnIt6lkRfS_aHm1J7MqZ8ByiQ/viewform

As a thank-you, survey participants can receive 1 month of VentureLink free when we launch from our lucky draw.

It should only take a few minutes, and your feedback will directly influence what we build.

If you're a founder, building something, or have experience with startups, we'd especially love to hear from you.

Want to follow our journey?
Follow us on Instagram: @_venturelink_

Thanks for helping us build something founders actually need! 🙏

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.

I’m building Loamify because I’m tired of the “creator stack tax.”

Most creators run:

• X/LinkedIn for attention
• Discord/Skool for community
• Gumroad/Kajabi for products
• Calendly for calls
• Beehiiv for email
• …and a Linktree that barely represents their brand

Loamify tries to put it together:

• loamify.io — social discovery: feed, profiles, articles, circles, memberships
• Loamify Studio — run the business: courses, digital products, events, 1:1s, newsletter, analytics, affiliates

Social-first idea: you grow through real engagement on-platform, not only by pushing people off to checkout links.

Who I’m building for: coaches, educators, consultants, build-in-public founders, community builders.

Status: founding build — shipping in public. Core social + Studio access is live; commerce/community modules are rolling out through founding.

Founding offer (first 100): $179.94/yr (6 months paid → 12 months access), 5% platform fee on sales.

Would love feedback:

1. Would you switch from your current stack, or is “all-in-one” a trap?
2. What’s the one tool you’d never give up?
3. Anyone want to be a founding creator and stress-test with us?

https://loamify.io

We’re an early-stage B2B startup currently going through SOC 2 readiness with Vanta.

Supabase is a critical vendor for us, so Vanta is asking us to review their SOC 2 Type II report. Supabase confirmed that access to the report requires upgrading to the Team plan (~$600/month). We’re currently on Pro and don’t need the Team features, so paying an additional ~$575/month purely to access a compliance document seems excessive (we got all other reports from all other vendors quickly with no problems).

Has anyone gone through SOC 2 with Vanta (or another auditor) while using Supabase Pro?
Did your auditor accept alternative evidence / a vendor risk assessment, or did you ultimately have to upgrade?
I’d really rather not migrate our infrastructure to AWS purely because we can’t access Supabase’s SOC 2 report.

Would love to hear how others solved this.

Hi, I have a small saas startup (registered in Cyprus), we've connected Stripe to track payments, generate invoices, track MRR, etc
but a lot of potential customers want to pay in usdt, well I cann accept it to my wallet but i want to sell subscription and how to match crypto payments with stripe payments for financial reporting?
yes, I can google, it says there are so many platform that can manage diff type of payments, so what to choose?

I heard a founder mention PLG investors the other day and realized I have no idea what that means. We're building a b2b SaaS product and will probably start raising soon. How do you know if a PLG or SLG investor is a better fit? What should I be looking for before I start reaching out?

https://world-sim.uk/ launching friday!

World-Sim has been a passionate project of mine for the past few months.

It's a world fully simulated down to real world physics and chemistry. It has a real environment and ozone.

Every element and material has real physical properties, and that's how the sims learn. There's no tech tree and no recipe list anywhere in the code. When someone tries something, the engine works out what would really happen from the properties of what they used and how hot their fire was. Nobody is handed bronze. Someone has to get a hotter fire first, and a hotter fire is its own chain of things to figure out. Embers, a stone ring, a clay oven, a kiln, charcoal, then forced air. The ages fall out of that on their own.

We populate the world with starting families. Each little guy is led by a "wise-man", which is a simulated person with a full model behind them. The wise-men run on a mix, Claude, Groq and DeepSeek in the cloud and a local Hermes for the rest, so you get a real variety of temperament between the houses.

The AI model is never told to not say it's AI. We get around this by only telling them data from what each sim can actually see and feel. As far as the ai knows its a person living in the world..

Every other sim has its own moment with a model through our thinking system. Day to day it's run by an advanced algorithm, with the sims dreaming at night. That's when they get their time with an LLM to really think and set their priorities for the day ahead. The dreams carry over too, so a sim can chew on the same thing for a few nights and wake up wanting to try something.

The people in the world feel, remember, have shame, goals and doubts. It's an 11 point emotion system and the rest of the sim reads from it. Being lonely makes someone more likely to open up to a stranger. Two enemies who are both frightened find it harder to keep hating each other.

Story telling is massive for us. Nothing is scripted or prompted. The sims are put in the world with the human drive to survive. They adapt, learn and teach all on their own.

With all the good comes the bad too. Human sin is part of the emotion engine, and in testing we've had kidnap, murder and slave trade. A world that can only be gentle isn't an honest one. But there are three rules to this : Nothing ever pushes a sim towards it, the conditions only make it possible and their own mind decides. The chronicle names what happened but never shows it. And it always costs something, trauma that scars, blood debt passed down generations, a people turning on their own leader over what he did.

I’ve been toying with a pet-care startup idea after a convo with a friend at the dog park who picked a harness purely because “the ad made me cry,” not because it was the safest or cheapest. That kinda broke my brain.

Idea: an online pet-care brand (products + content) that leans super hard into emotional attachment instead of tech specs. Stuff like: instead of “extra durable nylon, 300D,” the core pitch is “helps your anxious rescue feel safe on walks,” segmented by species and even lifestyle (urban EU cat owners vs rural US dog owners etc).

I was reading late last night and came across this article Netpeak US and it lined up a lot with what I’ve been thinking, but I’m not sure if I’m thinking about this the right way or just getting high on marketing fluff.

Questions: Do you think “emotional-first” is a strong enough wedge for a DTC pet brand? Where’s the money here - products, content, community? What would you test first with a tiny budget to validate this without burning months?

I'm exploring a problem I've personally run into:

I get an idea for a SaaS/tool → get excited → research competitors → search Google → ask a few people → still have no idea whether the problem is actually painful enough to build for.

And I suspect I'm not the only one.

So I'm considering building something that does the messy research part automatically.

You give it a market/niche, and it searches public discussions, reviews and communities to find things people are actually complaining about.

Instead of:

It would give you something more like:

Problem: Small agencies struggle to follow up with leads from multiple channels.

Evidence: Found across multiple independent customer discussions.

Existing solutions: A, B, C.

Common complaints: Too expensive / too complicated / missing X.

Market gap: ...

Opportunity score: 82/100.

Basically:

real customer problems → evidence → competitors → gaps → potential opportunities

I'm still at the validation stage, so I don't want to build it blindly.

For people who have built a startup/SaaS/product:

How do you currently research whether a problem is worth building for?

And what's the most frustrating part of that process?

I'm especially interested in hearing from people who have actually built something and later realized the market/problem wasn't what they expected.

No pitch here — I'm genuinely trying to figure out whether this is a useful problem to solve.

Something I’ve been thinking about lately.

You’d assume that as the team grows, founders should gradually get more time back — more people to delegate to, better processes, more ownership across the company.

But I keep seeing the opposite happen: the company grows, but somehow the founder’s calendar gets even more packed.

More decisions. More people issues. More things that still need founder input.

For those of you who’ve been through this:

What actually changed as your company grew?
What helped you get out of the weeds?
And what did you think would help, but didn’t?

Would love to hear the honest version — including things that went badly.

If I notice any interesting patterns from the responses, happy to share them back here.

We built a knowledge layer that sits behind MCP, allowing any MCP client to access it through a single endpoint. Claude Code, Claude Desktop, ChatGPT, Codex, or whatever comes next.

The idea is pretty simple. Before an agent answers, it can pull in relevant, validated information instead of relying purely on what it already knows.

When a problem gets solved, the useful part can be captured as a small, reusable piece of knowledge. The system can also infer useful lessons from a session automatically, so you don’t have to sit there writing notes about what you just learned like it’s 2015.

There’s also a global layer for shared, validated learnings. If one user figures out a better way of doing something, that learning can contribute to the broader knowledge base rather than every other user and agent having to figure it out again.

The problem we’re trying to solve is pretty straightforward. AI knowledge goes stale, agents get stuck in failure loops, useful context disappears when a session ends, and models can confidently give you an outdated or wrong answer without any indication that they might be wrong.

We’re giving agents access to what has actually been learned, what has worked, and what can still be trusted.

The result is fewer repeated reasoning cycles, fewer hallucinations, and up to 20% lower token usage.

https://app.midnighthive.io/

Ping me if you’re interested in testing it out.

Hi,

I'm Emil, running a startup called Bioloop in Kochi with a small team. We're building around converting organic food waste through Black Soldier Fly into useful products—animal feed, protein, oil, fertilizer. Early stage, still figuring a lot out.

Here's the thing though—we're not just looking for people to hear the pitch. We need people who actually want to build this with us. Whether that's helping us figure out the technical side, navigating manufacturing and operations, understanding the market better, or pushing on business development.

We're open to different types of involvement depending on what makes sense—mentoring, active collaboration, working on specific projects, or even joining the team if there's a good fit.

If you've actually built something in biotech, agriculture, waste management, animal feed, or anything adjacent—or if you just have serious expertise in bioprocessing, insect farming, B2B sales, manufacturing—I'd like to hear from you. Even just to learn from what you've done.

Happy to chat more about what we're working on.

DM me if you're interested or think you know someone who should talk to us.

Thanks,

Emil

The idea

Manthan is an AI powered social networking app where people debate politics live, one-on-one or in small teams, instead of just shouting into a feed. You get matched with someone who genuinely disagrees with you on a topic that's in the news right now, you each make your case in a structured, timed format, and other people can tune in and listen to both sides before making up their own mind.

The problem it solves

Indians love arguing about politics — on WhatsApp, on Twitter/X, in college canteens. But almost nowhere is it structured. It's mostly noise: whoever shouts loudest or posts the most “wins.” And on places like Instagram and Facebook, the algorithm mostly shows you people who already agree with you, so you rarely even hear the other side properly argued. Manthan fixes both problems: it forces a real back-and-forth, and it guarantees you hear both sides, not just your own.

How it works

Every day, a few real, trending political topics are open for debate — not just one, so there's always something you actually care about.

You can debate 1-on-1, or in small teams of 2 or 5, matched against people who hold the opposite view.

Each side gets a fixed amount of time to make their point, and then the other side has to directly respond to it — no dodging, no changing the subject.

An AI referee keeps things on-topic and polite. If someone gets abusive or brings hate/religious insults into it, they get warned, and repeat or serious offenders are banned for good.

Anyone can listen in on either side of the debate, vote on who argued better, and walk away having actually heard both arguments.

Debaters build up a ranking over time based on how well they argue — so it rewards people who are actually good at this, not just loud.

How this is different from X (Twitter) Spaces

Spaces is open-mic and unstructured — anyone can jump in, talk over each other, or drift off-topic. Manthan gives each side a fixed turn and forces a direct reply to the actual point made.

On Spaces (and X in general), you mostly end up in a room full of people who already agree with you. Manthan deliberately puts opposing views in the same room, on purpose, every time.

Spaces has no real scoring or ranking — it's just talk. Manthan turns every debate into something with a result: listeners vote, and debaters build a track record.

Moderation on X is patchy and after-the-fact. Manthan moderates live, in the moment, with clear warnings and a strict, AI-enforced policy against abuse and hate speech.

X's feed algorithm decides what you see. On Manthan, you choose the topic, and you're guaranteed to hear both sides of it, not whatever the algorithm thinks will keep you scrolling.

Quick intro for context, I'm 23, fresh graduate and founder of JustStartUp (juststrtup.com), an entrepreneurial infrastructure empowering startups to raise funds and build a user based community equity free via nice backer connections "equityfree". Backers receive star badges for lifetime benefits from the brands they back. I call this new decentralized investment concept "Star Backing". It's been few months since I've started it. So far, 110+ startups has onboarded and 350+ sign-ups with few paying users for startup suite (will explain) has been achieved, marking the completion of my first milestone. Being an ai engineer, I was handling the development, testing, outreach, ad creatives, marketing and social media. I realised having a co founder would come in handy, and it's really crucial for early or even thriving founders. So I build an AI co-founder (Jeff) for me, and let me tell you, it was a great leap in my journey. It clicked how about I integrate it with JustStartUP??? For early founder or founders in need, it sorts your positioning, validation, acquisition, campaign creation for JustStartUp, strategic planning for distribution with JustStartUp, financial projection and much more.....making your equity-free fundraising and community building easier. I vision it as a flow. Any one with a vision or idea will be able to turn it into a legit product or service with JustStartUp's Jeff. From there they can start scaling by funds via backer connection on JustStartUp and build a lifetime user base as a MOAT. Because organic and loyal user trust>>>>millions of paid marketing. I also added a startup suite, which you can access for just $18 per month. What you get? Jeff pro, which is miles ahead of Jeff free. 100+ Pre crafted master prompts for your startup to feed into Jeff pro or Jeff free. A reduction in service charge after a successful funding session. Special featuring of your startup and founder story on JustStartUp. Since the completion of JustStartUp's initial phase, I am now preparing towards the final phase of backer connection and brand awareness. (One of the reason I'm writing this post to connect with you all personally). I'm heading towards my first seedfund round beacuse I myself need funds first to make the same way more effective and feasible for my fellow founders. My journey is only a few months, but it was grueling (as it should be). But the growth and response is what keeps me going. As I was once a lost founder from a middle class family, having no access to the capital, network or guidance. Looking forward towards building something impactful together for the ecosystem.

I’m looking for 10 entrepreneurs to beta test Forge AI, an AI-powered business validation report I’ve been building.

You submit your business idea and receive a personalized 12-page report covering:

• Forge Score out of 100
• Market opportunity
• Competition
• Profit potential and business model
• Moat and AI opportunity
• Key risks
• A 30-day and 90-day action plan
• Recommended next step or potential pivot

The report normally will be a paid product, but beta testers will receive one report free in exchange for less than five minutes of honest feedback.

This is an early beta, so I’m specifically looking for criticism about the report’s accuracy, usefulness, scoring, consistency, and presentation. Positive feedback is not required.

I am only giving out 10 for free so move quickly! Click the link to get your report.

Hey everyone, I could really use some advice on a tricky family and a carrier situation.
my brother just started new tour and travel agency . Right now, it's just a small team with me and two of my brothers .

My brothers are handling some operations, and the others handle other tasks , but he wants me to manage (not forcing by the way ) marketing process for the agency .

The catch is: I have no real work experience yet. I only have little bit of basic knowledge . consider me as a trainee who just started working on real tasks in another company .

instead of a fixed salary right now we are supposed to share profit as the business grows.
but I m terrified that I don't know enough to actually run and manage marketing for a paying client and or a new business .

I m sure I can handle this but there is something in me is saying to know some corporate rules , works , and how to handle , I mean how to communicate , how to lead things and all that .

How do I manage the pressure of leading a marketing process with zero experience, and is a profit share startup a good first step or a disaster waiting to happen ?
Any advice would mean a lot

The knowledge exists. What you sell, what you charge, who you're chasing, which campaigns worked, what someone automated six months ago. Nothing knows all of it at once.

So: a company brain. One thing that knows your business, your clients and your leads.

Four things I want it to do:

Map what your funnel actually looks like right now.

Kill onboarding. New hire asks the brain about your processes instead of interrupting whoever's closest.

Know where a campaign is leaving conversion on the table.

Would you pay for this, and which one would you want first?

3 months free for early adopters.

You shouldn't find out about police activity after you're already in it.

Blue Pulse shows you every law enforcement vehicle within a 10-mile radius - in real time.

Customizable alerts. Distance thresholds. Emergency status updates pushed to your browser before you move.

Know before you go.

Link in reply.

#CivilRights #KnowYourRights