No next CEO

Microsoft isn’t naming a new CEO for GitHub. Instead, leadership will report directly to the CoreAI team, signaling deeper integration into Microsoft’s AI infrastructure. 

Dohmke stays on through 2025

Thomas Dohmke will continue in his role until the end of 2025 to help manage the transition.

GitHub’s strength under Dohmke

Under his tenure, GitHub grew to over 150 million developers, more than a billion repositories and forks, and GitHub Copilot scaled to more than 20 million users.

AI first, always

GitHub’s move under CoreAI led by Jay Parikh is part of Microsoft’s vision to build an “AI agent factory,” leveraging GitHub and Copilot as key components in its AI tools ecosystem.

Dohmke’s parting note

In a heartfelt internal blog titled “Auf Wiedersehen, GitHub,” he acknowledged GitHub's milestones- FedRAMP certification, doubled AI projects, improved security and expressed pride in its remote-first culture built during his leadership.

Start with the Goal

Know what you want: inform, entertain, sell, visualise.

Give Context

Audience, tone, and key details matter.

Be Specific

Vague prompt = vague answer. Add details.

Add Constraints

Limits (word count, style, banned words) boost creativity.

Break It Down

Complex tasks work better in steps.

Refine

Tweak, follow up, and push for better.

All Voice Lab

All Voice Lab isn’t just another text-to-speech generator, it's like a recording studio in your browser. Beyond basic voice generation, it offers voice cloning, real-time voice transformation, and emotion control. You can make a narrator sound curious, sad, or thrilled with just a tweak, and it supports multiple languages so your project can go global.

Its API access means you can plug it into apps, games, or virtual assistants without starting from scratch. Podcasters can skip expensive mic setups, audiobook producers can automate character voices, and video creators can sync voiceovers instantly to content. If you’ve ever been stuck with a robotic AI voice that ruins the vibe, this is the antidote it focuses heavily on natural delivery.

Chargeblast

Chargeblast is essentially an AI shield for your revenue. It monitors transactions in real time, flags risky purchases, and helps you dispute chargebacks before they hurt your bottom line.

The platform uses predictive analysis to identify patterns of fraud—things like abnormal purchase behaviour, location mismatches, or repeated disputes from the same buyer. Once flagged, it either auto-resolves or gives you all the data you need to win the case.

For e-commerce brands and SaaS platforms that process hundreds or thousands of payments a day, this can mean saving thousands in lost revenue. What’s clever is its automation—you don’t have to comb through spreadsheets or emails to fight fraud; Chargeblast quietly works in the background until it needs your attention.

Videoinu

Most AI video generators are limited tiny clips, simple animations, or short social snippets. Videoinu breaks that mould by letting you generate entire long-form videos from a script or prompt. You can create animated explainers, faceless YouTube episodes, or narrative videos without touching a camera.

It handles storyboarding, scene generation, and voiceover in one workflow, so even solo creators can produce a whole channel’s worth of content without hiring animators or editors.

The real kicker? There’s no built-in time limit—you could make a 15-minute educational video or a 40-minute visual podcast if you wanted. For marketers, educators, and indie storytellers, this can be a full-scale production tool.

PrimalSexAI

PrimalSexAI is a completely explicit AI content platform and it doesn’t pretend otherwise. It’s designed to generate adult visuals on demand, often with a level of realism or fantasy that’s impossible to achieve with traditional photography.

Users can create custom scenarios, adjust body types, styles, and settings, and get instant results. It’s blunt, direct, and aimed squarely at a niche but very active audience.

Ethics aside, the tech side is impressive: it uses high-resolution, fine-detail image generation that responds to even highly specific user prompts. It’s part of a wider movement of NSFW AI tools that are disrupting adult entertainment by putting production completely in the user’s hands.powerful assistant for dev teams building fast and clean.

Zintellix

An Indian-born, AI-first B2B SaaS startup out of Jaipur, founded in 2023 by Prabhhav Sharma. It’s built for action, letting non-technical users build live data reports from platforms like Snowflake or Google Analytics, without writing a lick of SQL. It also includes an AI data analyst that spots anomalies, trends, and correlations, helping teams make sense of their metrics instantly. Pricing is lean and transparent around $20/month in India, $200 in the US, and $100 elsewhere. If you're tired of waiting on your data team, this puts answers at your fingertips.

Tiso Studio

More than startup Tiso Studios bridges design, tech, and strategy. Think of them as a one-stop shop for building digital products and experiences. They're not shy about emerging tech: AI, IoT, blockchain, AR/VR, machine learning, you name it, they’ll tackle it.

They cater to founders, enterprises, retailers, educators, logisticians, and more anyone looking to modernize through digital transformation. Whether you're launching an app, prototyping a service, or need a remote dev team, they package design and delivery together.

ChipStack

A semiconductor game-changer. Founded in 2023 and based in Seattle, ChipStack brings LLM-powered magic to chip design. They’re solving a real pain point: today, building a modern chip often takes hundreds of engineers and years of work.

Their software blends large language models with an efficient tech stack to speed up design, catch RTL bugs sooner, and get chips to market faster. Founders hail from tech giants, and they have heavyweight backing from names like Khosla Ventures and AI2 Incubator. For chip teams, this isn’t a luxury, it's a necessary leap forward.

Dresslife

A fashion-tech AI solution that fights one of e-commerce’s biggest villains: returns. Founded in 2017 and based in San Francisco, Dresslife uses fashion-tailored AI to recommend clothing that actually fits and clicks with customer style. It doesn’t just push items it predicts the likelihood a user will like and keep them. That means 5–15% higher net revenue, fewer returns, and even reduced CO₂ emissions and waste.

The tech’s proven enough to win the NVIDIA AI Retail Prize and a TechCrunch Disrupt Berlin pick. For retailers, it’s not ‘nice to have’ it’s a smarter, more sustainable way to sell fashion.