Mr.Haseeb

Hi, I am open to work for fixed or hourly based projects at $25/hour. Top Rated on Upwork. Level 2 on Fiverr Hire me: Upwork: upwork.com/freelancers/~0… Fiverr: fiverr.com/harabroke #upwork #hire #fiverr #freelance

Week 2 of the B2B app build. Here is what happened: (Building in public this month follow along) Project: B2B web platform for a consulting firm Stack: Next.js + Supabase + Stripe + OpenAI What shipped this week: Complete dashboard UI all 8 screens done Every API endpoint wired to the frontend Stripe subscription billing live in staging Role-based access control (3 user types) AI-powered report generation added (client's request fits within scope) The AI feature took 4 hours to build. It generates weekly performance summaries from the user's data. The client called it the feature that sells the product. Client message this week: This is moving faster than any development we have ever done. Week 3 plan: → QA + bug fixes → Production deploy → Client team onboarding → Documentation One slot opening in June for a new project. Web app, mobile app, or AI product, DM me or visit mrhaseeb.com What are you building this week? #BuildInPublic #WebDevelopment #AIEngineering #FullStack #SaaS #StartupLife

@Abigail7866 On the point.

@mrhaseebdotcom Simplicity and focus often outperform feature overload in product delivery

Before & after: Client’s original list: • 47 features • 12 user types • AI recommendations • Native iOS + Android What we actually built: • 6 core features • 2 user types • PWA instead of native apps • Shipped in 5 weeks • 200 users in month 1 Constraints are your friend. Focus wins more than feature overload. #BuildInPublic #SaaS #WebDevelopment

@servantpeter001 Well said Atanga

@mrhaseebdotcom Building everything at once is the fastest way to ship nothing. Stripping it down to the essentials and actually getting it into users' hands is the ultimate move for growth.

How I add AI to a web app without it feeling like a gimmick. (Most AI features I see are useless. Here is how to do it right) Bad AI features: ❌ A chatbot that just wraps ChatGPT with no context ❌ AI-powered text that is just autocomplete ❌ AI recommendations that are not personalized ❌ Features that add 3 seconds of loading for no value Good AI features solve a specific painful problem: 1. Document Q&A (RAG) User uploads their data → AI answers questions about it Built with: OpenAI + Pinecone or pgvector Use case: Legal, finance, HR, any knowledge-heavy SaaS 2. Intelligent Data Extraction Upload a PDF or image → AI extracts structured data Built with: GPT-4 Vision or Claude Use case: Invoice processing, form digitization, medical records 3. Personalized Content Generation AI writes in the user's brand voice based on their history Built with: Fine-tuned prompts + user context Use case: Marketing tools, CRM, email tools 4. Predictive Features AI surfaces what to do next based on user behavior Built with: OpenAI function calling + your DB Use case: Sales tools, productivity apps, dashboards 5. Voice-to-Action User speaks → AI understands intent → takes action in the app Built with: Whisper + GPT-4 function calling Use case: Mobile apps, field tools, accessibility features The best AI features feel invisible. Users do not think that is AI. They think that just works. Are you building an AI product? What is the core problem you are solving? #AIEngineering #ArtificialIntelligence #WebDevelopment #SaaS #FullStackAI #ProductDevelopment

@Praiseakinlami Hard truth, but yes value comes first, network follows.

Your network is overrated if you have nothing to offer.

@FlippedRay Distribution + consistency. That’s usually what moves the needle.

What’s actually driving users to your startup right now?

@vaaselene It’s less about optimism and more about staying in the game long enough for things to start working.

the founders I watch closely all have one thing in common. They're still optimistic on day 400. Not faking it and actually optimistic. I used to think this was a personality trait and now i'm pretty sure it's a skill.

@JonBuildsHQ If I had to pick one: Claude Code. Better thinking usually beats raw speed long term.

Founders/Builders, what is the correct way?

@eliana_jordan The best workflows aren’t built on one AI tool. They’re built on using the right tool for the right job.

people using one ai tool for everything are missing the point chatGPT for ideas perplexity for research claude for deep analysis + automation cursor for coding

@ItsAndraz @OmriBuilds Fast feedback loops change everything.

@OmriBuilds You can move 10x the speed. Try small, see if it works, drop if it doesn't.

Most plans fail because they were never tested at small scale. Test the next 24 hours. Promote what worked. Repeat.

@OmriBuilds Small experiments beat perfect plans every time.

@himanshustwts The real unlock isn’t AI itself. It’s building systems that can verify reality, not just generate outputs.

there are many many domains for training data / envs which are under explored right now and this can be realized from the fact that so far it followed a single principle - how easily you can verify the output. well coding evolved cuz it offered free programmatic verification and building the equivalent "compiler" for other domains is one of the interesting (and intensive) problems to work on. example: bio is the frontier of the verification problem right now.

@tasornp Good content compounds. One solid post can outperform weeks of cold outreach.

I get more inbounds from writing than anything on X. Some people think it’s a waste of time. But not all posts are created equal. One post this week alone brought me 4-5 inbounds. That’s a far better return than engaging just to get noticed. Content isn’t just posting. It’s your best salesperson.

@corbin_braun Coding isn’t dead. But the speed difference now is honestly insane.

original timeline for my fintech. 1-2 months. once I started using sub agents in parallel. 1-2 weeks. coding is dead.

@corbin_braun True. Coding is becoming cheaper. But clear thinking, distribution, and solving real problems are still rare.

one of the biggest economical shift if happening in software right now and most people don't know. Every big tech is laying off employees. we are in software endgame. there is a real identity crisis happening with software engineers. imagine spending 10+ years of your life learning to code and making income this way. and now anyone can do it. odd time. salaries, stock options all of it. drying up.

A great product isn’t enough anymore. If no one sees it, it doesn’t exist. Distribution is the real skill that matters now. #BuildInPublic #Startups #Marketing #Entrepreneurship

@karanbhilhatiya ChatGPT is mostly “wanted,” but it quickly becomes something people feel they need because it saves time and boosts output.

@mrhaseebdotcom what you think about chatgpt then

builders, you can only pick one: 1) a product people need 2) a product people want which one actually sells?

@sherifgjini Real user proof + a clear demo everything else builds on top of that trust.

What makes you trust a new tool fastest? - founder posts daily - clear demo video - real user proof - transparent roadmap - simple pricing

@ardent__dev Where demand is already clear and distribution is strongest.

Where do you sell the most?