Ali Shazil

Genuine question: Everyone says "ship fast, iterate later" But how many of you are still fixing v1 mistakes 6 months later? Is "ship fast" just a nice way of saying "clean up later"?

The best AI tools aren't the ones with the most features. They're the ones you forget are AI because they just quietly do the job.

Solo founders building in public, Drop what you're working on right now 👇 - Product - One-line pitch - Link I'll go first: an AI system that runs client email inboxes so founders don't have to touch them.

@flytradr_guy Great! Let's connect!!!

@AliShazil_ Building FlyTradr, a no code algo trading platform for retail traders. Followed from my end, lets connect

Who's shipping something this month? Looking to connect with people working in: - AI - Automation - SaaS - Indie hacking Drop what you're building in one line. I'll check it out 👇

@cviklihamar Amazing, your tool feels like a productive tool. Let's connect, followed on my end :)

@AliShazil_ Building TODOforAI - an AI agent that actually ships product for you (writes code, runs your tools/CLIs, works across your machines). Using AI 24/7 and sharing what I learn. Would love to connect!

@mytwillot I have checked out Twillot. It seems to be an amazing tool. Let's connect 🤞

@AliShazil_ Working on Twillot—backs up your bookmarks, likes, and tweet history, then uses AI to turn them into a searchable personal knowledge base. Right at the intersection of AI and indie hacking! twillot.com/en

@i_mika_el That's seems useful tool. Let's connect!

@AliShazil_ sure, lets connect. building a tool that gives feedback on X posts before publishing

@Francklp2 That's Great! Followed on my end🤞

@AliShazil_ Building hrefmatch and a few other site projects around AI. Let's connect!

Founders, What's one thing you stopped doing that made your product better? For me it was replying to every feature request. Now I just build what actually moves retention.

Day 7 of automating the 20+ email inboxes I manage. Context: I'm automating 20+ email inboxes I manage for a guest posting business, the system handles the full sales lifecycle without me touching it. Today was about trust, not features. Ran a blind side-by-side test: same negotiation scenarios, two AI models. Found real bugs. One model quoted a client's old price instead of the new one they'd just offered. Another broke its own "never go below this price" rule under pressure. Fix wasn't a bigger model. Pulled the pricing math out of the prompt and into code, so the AI states the answer instead of calculating it live. One change, a whole category of pricing bugs gone. Also caught the same site's price sitting in two places in the database. Consolidating to one source of truth now. Not glamorous. But this is what makes an autonomous system actually safe with real client money.

Unpopular opinion: most "AI automation" that founders are shipping isn't automation It's AI-assisted manual work with extra steps real automation means the system handles edge cases, makes judgment calls, and doesn't need you to babysit it Most tools aren't built for that. most prompts aren't either How close is anyone actually getting to full autonomy?

Most people talk about what AI automation saves you. nobody talks about what bad automation costs you A poorly prompted AI replying to client emails doesn't just waste time — it kills deals, confuses clients, and creates cleanup work that's worse than doing it manually The floor on AI automation is lower than people think what's the worst automation failure you've seen or shipped?

Genuine question for founders building with AI: at what point does "just use an existing tool" stop making sense and you have to build your own? I keep hitting the ceiling on off-the-shelf stuff. the last 20% of what i need just doesn't exist anywhere, so i build it Is that a skill issue, a niche problem, or just the reality of serious automation?

@Simon_LeanderW €80K in tooling to avoid €500K in salaries isn't a cost, it's the most obvious trade in the room.

We spent about €80,000 on Cursor and Claude Code last year. Three people. When I say that number to other founders they assume something went wrong. It didn't. Here's the math that matters: three people running tools that would have needed a team of fifteen a few years ago. The content engine that gets our clients cited in ChatGPT and Perplexity, the audits, the QA, most of it runs on systems we built on top of those tools. I'm not romanticising it. We hit walls constantly. Some weeks the tooling fights you and you wonder if the manual way would've been faster. Then you look at the month's output and there's no contest. €550K ARR since October on that headcount. I keep coming back to it because the default assumption is still that AI tooling is a cost line. For us it's the reason the company can exist at this size at all. The uncomfortable part for bigger teams: the leverage is real and it's available to everyone, so the only edge left is taste and speed. We pick what to build and ship it before the next person finishes their planning doc.

Building an email automation system for my guest posting business. Right now it's mostly scripted logic with some AI sprinkled in. it works, but it's not truly agentic -- the system doesn't really think, it just follows rules. that's what I'm fixing next. If you're building AI agents or automating your own business ops, let's connect. curious what problems you're actually solving.

@IamMLeclercq Launched PublishNode before I knew how to market it. Zero users, zero plan. Felt stupid at the time. But that launch is what taught me distribution actually matters, not the build. You can't learn that from a case study.

You don't learn how to code by watching tutorials You don't learn how to build a product by reading case studies You don't learn how to acquire users just by thinking about it You learn how to build it by shipping it So next time you have an idea or want to launch a new feature - just ship it Launching to zero users is the stepping stone to traction, so don't be afraid to launch

Day 6 of automating the 20+ email inboxes I manage. Context: I'm automating 20+ email inboxes I manage for a guest posting business — the system handles the full sales lifecycle without me touching it. Rebuilt the leads table from scratch today. Went from 7 columns to 15. The one thing I'm most happy about: the system now auto-extracts notes from a client's first email the moment it arrives. AI reads it, pulls out URLs, expected prices, bulk requests, any special requirements — saves it to the row automatically before you've even looked at the thread. Also shipped a "Follow Up All" button. Scans for leads with no reply in 24+ hours, sends the follow-up to all of them at once, marks them done so nothing gets sent twice. The table now looks like Google Sheets too — formula bar, column letters, blue cell selection border. If people are going to live in this dashboard, it should feel like something they already know.

@RealMissAI Nobody's buying AI. They're buying the thing they no longer have to do. Founders keep pitching the engine. Customers just want to not drive.

Most founders talk about what their AI does. Customers think about what they can stop doing. That's the disconnect. Nobody wakes up wanting more dashboards, prompts, and settings. They want less effort, fewer tasks, and more time. Great AI disappears into the workflow. Bad AI becomes another job.

@HashamBuilds Managing 20+ email inboxes for my guest posting business. Every inbox had its own pricing, its own tone, its own context to remember. Spent more time switching tabs than actually working. Now I'm automating the whole workflow with AI. Classic solve-your-own-problem arc.

The moment I stopped asking "what should I build next" and started asking "what am I personally annoyed by". Everything got easier. What's annoying you right now that should be a product?