Sandhya Mishra

I stopped building presentation decks manually. Now I just talk to them. As someone who creates presentations almost every week — for clients, partnerships, and content — this genuinely changed my workflow. Before, my process looked like this: → Open blank slides → Spend forever fixing layouts and formatting → Copy content from docs into slides → Adjust fonts, colors, spacing manually → Still feel like the deck looks “mid” Then I tried Pitch Agent, the new AI assistant built inside Pitch. I dropped in my brand domain, and prompted the AI: “Create a 10-slide deck about AI workflows for consulting clients.” Within minutes, it generated a complete presentation using: → My brand colors → My fonts → My style Not just any generic AI slides. An actual polished deck that looked consistent with my brand. But the coolest part was this: I could continue chatting with the presentation to refine it. “Make slide 5 more visual.” → Updated instantly. “Split this slide into two.” → Done. “What’s the key message of this deck?” → It summarized the entire presentation into a clean narrative I could reuse in emails and calls. That’s what makes Pitch Agent feel different. It’s not just generating slides. It actually understands the context of your presentation. A few things I really liked: 1/ It can work with your existing Pitch templates, so everything stays on-brand automatically 2/ You can create a full deck, specific sections, or even edit one slide through simple prompts 3/ You can ask questions about your own presentation — which is surprisingly useful before meetings or client calls And it’s available on all Pitch plans, including free. If presentations are part of your work, this is worth checking out. From idea → to branded deck → to polished presentation flow. Create with Pitch Agent → https://lnkd.in/eZNGdGkt #PitchPartner

I genuinely thought this was fake. Until I spent 20 minutes testing it. There’s a tool called Articos that claims it can replace weeks of user research with a report generated in under 30 minutes. Sounds ridiculous, right? That’s exactly what I thought too. So I dug into how it actually works. Instead of giving generic AI outputs, it builds a panel of simulated user personas — also called synthetic users: → Champions who love the idea → Skeptics who question everything → Blockers who would never buy → Neutral users sitting on the fence These aren’t static profiles. Each synthetic user behaves like a “living” respondent: • They remember previous answers • They don’t see other personas’ responses • They evolve their feedback across the interview flow Then it runs structured interviews with them individually, almost like running parallel focus groups at scale. Another feature that stood out was Concept Testing. You can drop in an idea, product flow, or feature concept, and it tests it across these synthetic users to surface: → What people instantly understand → What confuses them → What feels valuable vs unnecessary → Where adoption might break And every insight is still traceable back to actual persona quotes — not just a black-box AI summary. The final output feels closer to a research agency deliverable than a typical AI tool: ✓ Market-fit analysis ✓ UX audit findings ✓ Concept validation insights ✓ Top-of-mind scorecards ✓ Persona interview quotes ✓ Stakeholder-ready research report According to their published validation studies: • 46 studies tested • 9 industries • 86% alignment with human research panels I was expecting another ChatGPT wrapper. What I found felt more like a structured research system. I broke down the dashboard, methodology, outputs, and pricing. Check here: https://articos.com

I almost posted the worst-performing version of my content. And the scary part? I genuinely thought it was the strongest one. So before posting it publicly, I tested a few variations with synthetic audiences on Articos. The results completely changed my mind. One version felt too polished and corporate. Another performed better simply because it sounded more direct and trustworthy. That’s what inspired our new Concept Testing feature. You can drop in up to 3 different versions of any concept — ad copy, headlines, value propositions, positioning, or email subject lines — and get reactions, objections, and audience language from synthetic audiences in under 30 minutes. No ad spend. No guessing. No waiting weeks for research. 👇 Link in first comment to test your copy. #Marketing #AI #GrowthMarketing #UserResearch #SaaS

$0. That’s my entire tech stack budget. And I run a startup with 1,000+ users. Here’s the stack: → Frontend: Next.js + Vercel (free hosting) → Backend: Supabase (free tier with database + auth) → AI: Groq API (free Llama 3 inference) → Design: Figma + Canva (free tiers) → Analytics: Plausible (self-hosted setup) → Email: Resend (100 emails/day free) → Payments: Lemon Squeezy (pay only when you earn) → CI/CD: GitHub Actions → Domain: Free .vercel.app subdomain Total monthly cost: ₹0 “But free tools have limits.” Yes, they do. But those limits are more than enough when you're building from 0 to 1,000 users. Most founders don’t fail because of infrastructure. They fail because they spend too much time optimizing systems for users they don’t have yet. Stop over-engineering. Start shipping. Inside this carousel: → The complete $0 startup stack → Free-tier limits for each tool → When to upgrade (and what to upgrade first) → The #1 mistake that kills free-tier startups → Real examples of startups using this exact stack You don’t need funding to build. You need momentum. Save this for later. Share it with founders building from scratch. #Startup #BuildInPublic #SaaS #Entrepreneurship #Bootstrapping #IndieHackers #WebDevelopment