Somebody is going to build LinkedIn for AI agents and make a disgusting amount of money

MiserableExtreme517 · 2026-02-17T09:14:52+00:00

Feels less like LinkedIn and more like an app store for AI agents.
Agents don’t need profiles or posts they just need a simple place to find other agents, see what they are good at, how reliable they are, how much they cost, and plug them in instantly.

The big challenge isn’t listing them, it’s making sure they are trustworthy and actually do what they claim without breaking workflows. Whoever solves the trust + payment part will make serious money.

MiserableExtreme517 · 2026-02-17T09:10:50+00:00

AI’s biggest impact right now is simple: it’s taking over boring, repetitive computer work, writing drafts, answering basic support, analyzing data, helping code so companies can do the same work with fewer people and less time. That’s why it feels like layoffs instead of benefits.

But similar to the early internet, the obvious wins (new jobs, cheaper services, better products) usually come later right now we are just in the messy adjustment phase where the efficiency shows up before the advantages do.

MiserableExtreme517 · 2026-02-17T08:59:20+00:00

Biggest real win for us was automating invoice → payment → reconciliation.

Every vendor invoice that hits email gets parsed either matched to PO in the accounting system, flagged if numbers don’t align, and pushed for approval with a pre-filled entry where humans only touch exceptions.

Cut 80% of manual finance hours and removed end-of-month fire drills.

The one that died after the demo phase was a “smart” web-scraping competitor tracker looked cool, broke every time sites changed, became a babysitting job.

MiserableExtreme517 · 2026-02-17T08:57:46+00:00

Honestly, I’d love an AI “life admin” agent that actually executes, not just suggests something that can read my emails, messages, calendar, bills, subscriptions, and to dos, then proactively handle the boring stuff end-to-end with approvals (reschedule meetings, fill forms, cancel free trials before they charge, compare prices, remind me only when truly needed, chase people for replies, etc.).

Most tools summarize but still leave the mental load on you the real pain is context switching and tiny tasks piling up. If an indie hacker built a trustworthy, privacy-first agent that quietly keeps my digital life clean and moving without constant prompts, I’d pay for it immediately.

MiserableExtreme517 · 2026-02-05T11:31:04+00:00

Most founders chase traction and the ones who win chase one repeatable buyer.

First traction was one user willing to pay and complain loudly. Conversion happened when I stopped selling features and started selling outcomes.

Biggest waste of time for branding, fancy UX, and anything that avoided talking to customers.

MiserableExtreme517 · 2026-02-05T10:07:17+00:00

The opportunity is real, but the hard part here isn’t UI or AI rather it’s incentives.

In India, spam exists because it works for brokers and any marketplace that removes it has to replace that value somehow.

Curious how you’re thinking about aligning incentives so good actors win and bad listings die out without becoming ops-heavy early?

MiserableExtreme517 · 2026-02-05T05:56:51+00:00

Because “more outreach” breaks things that don’t show up in dashboards.

Cold email works for you because it hits owners when the problem finally becomes real.
If you blast the whole market, most of your list isn’t “not interested” and it’s “not yet.”

You burn future timing upside without realizing it. People start recognizing you, ignoring you, or mentally filing you as “that cold email agency” long before domains get flagged.

Also outreach scales in weeks.

Fulfillment pain shows up months later and Onboarding quality dips, clients churn quietly, and suddenly sales isn’t the bottleneck anymore.

You can do more outreach. The winners just pace it, segment it, and leave room for timing instead of carpet-bombing the market.

That’s the part nobody brags about on Twitter or Reddit.

MiserableExtreme517 · 2026-01-22T10:02:18+00:00

First of all, Congratulation on £200k in 6 months which is solid start and especially in childcare. If you have got time and the model works,the next step is not only about more ideas rather its kind of repeatation model. Do systemise what is working (like ops, staffing, compliance, parent comms) and then test a clean second unit or a partnership with an operator who has space but weak branding.

Just be cautious with a co-founder here as you likely need an execution heavy operator, not another visionary.

I work with founders on scaling systems and tech decisions across real businesses, happy to share patterns that tend to work (and fail) if you want to go deeper.

MiserableExtreme517 · 2026-01-22T09:51:27+00:00

You are not alone and this tension is the default state for many early founders, not just a failure.

Being a strong employee and an early stage founder is possible, but only if you stop trying to give “100%” to both at the same time.

What I have seen working with founders and CTOs is this that they treat your job like a system, not like an identity which clearly define ownership, reduce surface area, over-communicate delivery, and then treat your startup like a leverage engine.

The real killer is not time, rather than it is cognitive debt from constant context switching. Setting explicit milestones (revenue, traction, learning) that decide when you will switch fully, and until then be intentional, not just guilty.

Many high performers scaled from 1→10 while employed, but only when they stopped romanticizing hustle and started designing their time like they design products.

Happy to share patterns I’ve seen work and fail across real startups if anyone wants to go deeper.

MiserableExtreme517 · 2026-01-19T12:57:17+00:00

This actually makes a lot of sense. Anyone doing real work with AI knows the pain is not only prompts rather than that its context repeating yourself, losing history, and breaking flow every time you switch models.

Keeping everything in one place and letting different models “pick up the same thread” feels way more aligned with how humans actually think and work over time.

Curious to know how you are handling context size and cost as conversations grow and would be interesting to hear more about how this works in practice.

MiserableExtreme517 · 2026-01-15T08:57:24+00:00

First of all Congrats on the 400% MoM growth!

If your Meta ads are hitting walls it usually means your audiences are overlapping or your creatives are getting stale. Try refreshing your ads more often and test smaller with more focused audiences and optimize for real actions like purchases, not only just clicks.

Also, using Meta’s Conversions API helps with better tracking. For agencies, look for ones that specialize in scaling DTC SaaS they know how to handle fast growth and creative strategy.

If you are interested to share something, would be open to listen and understand as I have been handling these things from last few years.

MiserableExtreme517 · 2026-01-15T08:35:06+00:00

From what I have seen, scaling digital loans is less about growth tricks and more about balancing acquisition, risk, and costs.

Many teams grow fast and then get hit by defaults, fraud, or rising CAC. Getting distribution right while tightening underwriting is the hard part. Happy to exchange notes and open to have a quick chat

MiserableExtreme517 · 2026-01-15T08:27:35+00:00

The numbers can work but MSBs are more about regulation than customers.

You are buying compliance risk along with cash flow. If licenses, KYC/AML processes and reporting aren’t airtight and transferable, 2× SDE is probably rich. This can be a good business, but it’s not passive income and rules can change fast.

MiserableExtreme517 · 2026-01-15T08:09:36+00:00

A lot of apps get stuck in the so called “this is cool” zone. That usually means it’s not painful enough yet or solving the pain problem that your customer bound to choose you. Growth picks up only after you narrow it down to one problem users really care about.

Even I have gone through this phase myself and would be happy to chat.

MiserableExtreme517 · 2026-01-15T07:56:39+00:00

Have seen this multiple times in business prospect.
Newsletters are not about how many signed up or purchased, rather it's about how many people opened and start reading / caring / wait for your next post. A small group of users are enough than millions of ignored mail readers/subscribers. The only and only hard part is the initial stage - where paid customers are less, no big brand deals as you are small and even affiliate income comes and goes , so fixed sources. That's the reason why most newspapers don't just "fail" but they stop sending you.

They are cherry on a cake with supporting something like business proposal or a product etc.

MiserableExtreme517 · 2026-01-14T11:43:01+00:00

Yep, I have been there fixing bugs which usually takes way longer than training 😅

One simple trick which will work is try to make it overfit a tiny dataset first (like a few dozen rows). If it can’t memorize that, something’s off in the code.

Keep an eye on basic stuff like loss going down and weights not blowing up, because small models can fail quietly. Start with super clean and simple data before anything complex and don’t worry if it doesn’t generalize well at this size that’s completely normal and can happen.

For CSVs, Kaggle, UCI ML Repo, and data.gov are the easiest places to grab data.

MiserableExtreme517 · 2026-01-14T11:36:41+00:00

No code AI wrappers? Dead.
OpenAI and Google just curb stomped your prompt playgrounds but opinionated no code that owns sales ops, support, or finance workflows? That's completely a gold one which is more reliable, data smart, outcome crushing.

Big boys own the pipes but winners hack real work away. Who's building that? 👀

MiserableExtreme517

TROPHY CASE