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OFF/BEAT has raised ₹100 Crore in Seed funding, led by Bessemer Venture Partners.
OFF/BEAT is a content and creator-led platform that leverages AI and tech for its build. Aman announced it last month after stepping back from boAt ops, calling it "Aman 2.0."
Source: Aman Gupta
Google is inviting AI-first startups to apply for Google for Startups Accelerator in India.
A three month, equity-free program for Indian AI startups building Agentic AI, Multimodal AI, Physical AI solutions or developing specialized Sovereign AI models.
Get expert mentorship across AI, Cloud, Product, Design and Growth, and so much more!
Applications closes on April 19, 2026.
Read more here.
Your site is live. So why isn't it converting?
Launching a website without a developer in 2026 is not the hard part. The hard part is building one that actually works — communicates your value in seconds and moves people toward a decision.
Most founders treat no-code as a shortcut to publishing. But speed alone doesn't create trust, clarity, or conversions. The founders who win aren't the fastest publishers. They're the most disciplined iterators.
🚨 Why your good-looking page isn't converting
A polished page can still fail commercially. Visitors need to answer three questions instantly:
👉 Is this for me? 👉 What does it actually do? 👉 What happens when I click?
Generic positioning, vague copy, and buried CTAs are the biggest culprits — and these are strategic problems, not design problems. No animation or color palette will fix them.
🎯 Start with outcome, not layout
Before opening any builder, answer two things:
✅ What is the one action I want visitors to take? ✅ Who exactly is this page for?
"Small business owners" is not an audience. "First-time founders in South Asia raising their pre-seed" is. One objective, one audience — everything else follows.
🏗️ The page structure that actually works
🔹 Relevance — State who you help and what outcome you deliver. If visitors don't see themselves in your headline, they're gone.
🔹 Mechanism — Explain how it works in plain terms. Path from problem to result, no feature lists.
🔹 Confidence — Place specific proof near relevant claims. One context-rich testimonial beats five generic ones.
🔹 Action — One dominant CTA. Tell people exactly what happens after they click.
For a deeper breakdown, this guide on how to build a standout no-code website in 2026covers it thoroughly.
🤝 Trust is a placement problem, not a volume problem
Users evaluate credibility at the moment of doubt — not at a social proof block at the bottom of the page. Map your claims to nearby proof:
⚡ Fast implementation? Show a timeline. 📈 Strong results? Show specific numbers. 🔒 Risk-related promise? Address it directly, not vaguely.
📱 Mobile is a release gate, not an afterthought
Before any publish, check these non-negotiables:
✔️ Value proposition visible without scrolling ✔️ Trust signal appears before deep scroll ✔️ Tap targets comfortable on mobile ✔️ Forms work with mobile keyboards
Any failure should block the release. Not delay it — block it.
🧪 One test at a time
Push five changes at once and you'll never know what caused the lift. Isolate one variable per cycle — headline, CTA, proof format. Define your hypothesis before publishing. Write down what happened. Those notes become your real playbook.
The real edge no-code gives you
No-code gives you leverage — the ability to learn faster than teams stuck in engineering queues. But only if you maintain discipline around structure, proof, and testing.
Build with intention. Test with focus. Improve with every release.
Formblend is a wellness and dietary supplement brand that provides clean, science backed products designed to support energy
Introducing CraftAI, the best AI Website Builder template built to empower startups and SaaS platforms to showcase their innovation with clarity and confidence.
Download the template: https://uihut.com/designs/27524
It's like Linktree, but it looks like a Framer or Webflow site.
Claim your free domain before someone else takes it!
YC President Garry Tan on their internal social announced that Delve has been asked to leave YC.
The same has been confirmed by a tweet from Delve co-founder Selin Kocalar.
After the initial substack article on them about using generic templates for SOC 2 reported earlier, more information came about about them where details emerged that they likely stole the IP of a fellow Y Combinator company (SimStudio) and ripped off another (Oneleet).
The link for Delve on YC's company list has also been removed: https://www.ycombinator.com/companies/delve
YC has not officially announce anything as of yet.
I've been exploring AI video generation tools and recently came across Seedance 2.0. Here's what makes it stand out:
Key Features:
• Text-to-video and image-to-video generation
• Precise motion control with keyframe editing
• High-quality 1080p output
• Multiple aspect ratios support
• Fast generation - videos up to 10 seconds
What impressed me most is the motion control capability. You can actually guide how elements move in the video, which gives much more creative control compared to other AI video tools.
The output quality is solid for marketing content, social media, and product demos. It's particularly useful if you need consistent visual styles across multiple videos.
Check it out: https://www.xmk.com/seedance/seedance-2-pro
Has anyone else tried this? Would love to hear your experiences with AI video generation tools.
Startup Sahayak
is an AI-powered digital platform launched by Razorpay in March 2026, in strategic partnership with the Department for Promotion of Industry and Internal Trade (DPIIT) and Startup India.
It serves as an "AI co-pilot" for early-stage founders to bridge the gap between having an idea and executing it.
Key Features and Benefits
- AI-Generated Roadmaps: In approximately 120 seconds, the tool creates a personalised startup roadmap based on your industry, idea, and experience.
- Zero-Fee Incorporation: DPIIT-recognised startups can receive company incorporation assistance with zero professional fees, excluding only mandatory government charges.
- Idea Validation: The platform uses AI to analyze market sentiment, competitive landscapes, and industry trends to validate business ideas.
- Access to Government Schemes: It provides a mapped database of relevant central and state government grants, schemes, and incentives for which a founder might be eligible.
- Founder Enablement: Access to regular knowledge sessions via the Startup India Hub on topics like applied AI, marketing, and product development.
- Ecosystem Support: Includes mentorship opportunities, pitch deck reviews, and entry into curated founder communities for networking.
Target Audience
The initiative specifically aims to support early-stage ventures and entrepreneurs, with a strong focus on fostering innovation in Tier 2 and Tier 3 cities across India.
Source: Razorpay
Google has officially upgraded the storage for its AI Pro (formerly AI Premium) plan from 2TB to 5TB at no additional cost. This change was announced on April 1, 2026, and is rolling out globally to all subscribers.
Plan Updates:
- Storage Increase: The plan now includes 5TB of cloud storage (a 3TB increase), which is shared across Google Drive, Gmail, and Google Photos.
- No Price Hike: The monthly subscription fee remains unchanged at $19.99/month (or ₹1,950/month in India).
- Availability: This upgrade is rolling out globally to all new and existing Google AI Pro subscribers as of April 1–2, 2026
Included Benefits:
- Gemini Advanced: Access to Google's most capable AI models for reasoning, coding, and creative projects.
- Workspace Integration: Use Gemini directly in Google Docs, Gmail, and other apps.
- Premium Features: Includes 10% back on Google Store purchases and enhanced video calling features like noise cancellation in Google Meet.
Source: shimrit ben-yair
Razorpay's biometric authentication delivers up to 95% transaction success rates. For businesses, that’s a great relief on the last mile.
Key Details of Razorpay Passkey:
- Reduced Friction: Aims to eliminate issues like OTP delays, wrong entries, and redirect loops, reducing checkout abandonment.
- Increased Security: Uses on-device tokenized authentication, enhancing security and reducing card payment failures by up to 95%.
- Compatibility: Supported for transactions with major card networks like Visa and Mastercard.
- RBI Compliance: Fully compliant with the RBI’s two-factor authentication framework.
This initiative is aimed at reducing the ~35% of online card transactions that fail due to OTP issues, offering a seamless and secure alternative for digital payments in India.
Source: Razorpay
GLM-5V-Turbo does native multimodal coding, balanced visual and programming capabilities, and deep adaptation for Claude Code and Claw Scenarios.
The model can understand design drafts, screenshots, and web interfaces to generate complete, runnable code, truly achieving the goal of "seeing the screen and writing the code.
GLM-5V-Turbo leads in benchmarks for design draft reconstruction, visual code generation, multimodal retrieval and QA, and visual exploration. It also performs exceptionally well on AndroidWorld and WebVoyager, which measure control capabilities in real GUI environments.
Regarding pure-text coding, GLM-5V-Turbo maintains stable performance across three core benchmarks of CC-Bench-V2 (Backend, Frontend, and Repo Exploration), proving that the introduction of visual capabilities does not degrade text-based reasoning.
The leading performance of GLM-5V-Turbo stems from systematic upgrades across four levels:
- Native Multimodal Fusion: Deep fusion of text and vision begins at pre-training, with multimodal collaborative optimization during post-training. We developed the next-generation CogViT visual encoder, reaching SOTA in general object recognition, fine-grained understanding, and geometric/spatial perception. We also designed an inference-friendly MTP structure to ensure high efficiency.
- 30 Task Collaborative RL: The RL stage optimizes over 30 task types simultaneously, covering STEM, grounding, video, and GUI Agents. This improves perception and reasoning while mitigating the instability often found in single-domain training.
- Agentic Data and Task Construction: To solve the challenge of scarce Agent data, we built a multi-level system ranging from element perception to sequence-level action prediction. We use synthetic environments to generate verifiable training data and inject "Agentic Meta-capabilities" during pre-training (e.g., adding GUI Agent PRM data to reduce hallucinations).
- Multimodal Toolchain Extension: Beyond text tools, the model supports multimodal search, drawing, and web reading. This expands the perception-action loop into visual interaction. Synergies with Claude Code and OpenClaw are enhanced to support full-loop task execution.
Source: Z AI
AI tools have dramatically changed how fast teams can launch websites. A landing page that once took days of drafting, feedback loops, and revisions can now be ready in a single session. But speed alone isn't the win most teams think it is.
The real problem shows up after launch.
Many AI-generated pages look polished at first glance — clean layouts, confident copy, logical structure. And yet they underperform in real traffic. Users land, read, and leave without converting. Why? Because fast output and reliable outcomes are two very different things.
The most common culprits:
Generic relevance. The page sounds professional but doesn't speak to anyone specific. Visitors can't tell if it's actually for them.
Shallow mechanism. The product is described, but not explained. "Powered by AI" tells users nothing about what actually happens or why it works.
Misplaced trust signals. Testimonials and proof exist — but they're buried below the fold, far from the bold claims that created doubt in the first place.
Chaotic iteration. Teams tweak headlines, layouts, and CTAs all at once, then have no idea what actually moved the needle.
The fix isn't better AI — it's a better system.
High-performing teams treat AI as a production amplifier, not a decision-maker. They still own positioning, claim validation, and release approval. AI handles drafting, variations, and repetitive formatting work. The distinction matters.
A practical structure that consistently works follows four questions in sequence: Who is this for and why now? How does it actually work? Why should I trust this? What do I do next? Every section on the page should be earning its place within that narrative.
Before generating any copy, the best teams write a short brief: one objective, one audience segment, one mechanism summary, and one intended action. This brief becomes the source of truth — for the AI prompt and for every human edit that follows.
Release gates matter too. Mobile should be treated as a strict requirement, not an afterthought. If a first-screen relevance check fails on small screens, the page doesn't ship.
And testing discipline separates teams that learn from teams that just move fast. One variable per release. One primary metric plus one guardrail. Clear notes on what changed and why.
For a detailed breakdown of the full 10-step workflow — including how to structure proof placement, CTA logic, and a 30-day implementation plan — the original guide on Unicorn Platform is worth reading in full: Building AI-Assisted Websites in 2026
The teams building durable growth with AI aren't the ones using the most tools. They're the ones running the clearest system.
When applications evolve, even small UI changes can unintentionally affect layouts, styles, or user experience. This is where visual regression testing becomes valuable. It focuses on detecting changes in the appearance of an application after updates, ensuring that the interface remains consistent and user-friendly.
Instead of checking functionality alone, this approach compares visual elements—such as layouts, colors, fonts, and spacing—before and after changes. By identifying differences, teams can quickly spot issues like misaligned components, broken layouts, or unintended design changes that might otherwise go unnoticed.
In practice, teams capture baseline snapshots of the interface and compare them with new versions after updates. These comparisons can be done manually or with automated tools that highlight even minor visual differences. This is especially useful for applications with complex user interfaces or frequent design updates.
Visual regression testing is often integrated into development workflows alongside other testing methods. It adds an extra layer of validation by ensuring that the product not only works correctly but also looks as intended across different devices and environments.
By incorporating visual regression testing into regular workflows, teams can maintain design consistency, catch UI issues early, and deliver a more polished and reliable user experience.