MBition
Buying intent
18 tracked signals | Top 15 topics are below | Product and Engineering are carrying most of it.
Attention by team
LinkedIn activity, by teamWhere MBition's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.
Topics being researched
30-day windowEvery tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.
2d ago
10d ago
14d ago
30d ago
14d ago
12d ago
30d ago
30d ago
30d ago
30d ago
30d ago
31d ago
30d ago
30d ago
2d ago
Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who's active at MBition
verified title on fileTitles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.
Primary products / business lines
LinkedIn company profileData Privacy Notice: https://mbition.io/privacy-policies-legal-notice-social-media/ As a 100% subsidiary of Mercedes-Benz AG, MBition designs, develops, and delivers next-generation automotive software and connected car services. Operating at the forefront of innovation, we're actively contributing to MB.OS, the Mercedes-Benz Operating System, with a fast, agile, and precise way of working. From
Top accounts researching MBition
names withheld on the public pageThese are companies whose own people brought up MBition unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.
129,094 companies · 649,540 people are researching Artificial Intelligence
MBition's own team shows 2 signals on this topic. No one outside MBition has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.
- Unreal Engine235 cos · 1,068 people
- Health Care6,524 cos · 23,607 people
Buyer profile
company size · seniorityCompany size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.
Buying committee functions
Employee job titles (LinkedIn)Engineering — 4 people; Security — 1 person; Product — 1 person
What's been said
public posts by MBition's teamNo public post naming MBition has surfaced in the past year, so this is what MBition's own team is posting about publicly — their topics, in their words.
Negative comments don’t always damage a brand, but poor responses do. Stay consistent, avoid defensiveness, and know when to take the conversation offline. #CrisisManagement #CrisisPR #PRFirm #CrisisPRPlaybook #NegativeComments
May 2026.md is now the most popular "language" on GitHub. 🏆 Not Python. Not TypeScript. Markdown. I wasn't surprised. I was part of it. For months I had agents generating beautiful documentation. MD files for every module. Mermaid diagrams. Inline comments. Docstrings. The codebase looked like it had a Wikipedia page. Then my friend hit a wall — a medium feature, the kind agents should handle 100%. He gave up. His agents gave up. Thousands of tokens burned, nothing shipped. I jumped in with my agents setup. Best models - same result. Mixed signals. Hallucinations. Their plan contradicted my mental model and a lot of noise. I went for a walk and puzzle clicked. The agents were reading the code AND the docs, hitting contradictions everywhere. Each MD file confidently wrong in small ways — one wrong word here, another there. Devastating in total. I've known this my whole career. Put something on paper and it's obsolete while the paper is still warm. Developers learned to distrust stale docs. Agents not yet. So I did something drastic. Manually deleted most MD files. Asked agents 2-3 times to minimize what remained. Stripped every inline comment and docstring. Then asked them to find the issues. They found everything, crystal clear. Feature shipped. Net result: -3000 lines, +200. The lesson: generate documentation freely. Use it, throw it away. Never commit it. What belongs in git? The code. And, maybe. — One high-level architecture diagram — Agent instructions: the "never do this here" rules — That's it. Clean code explains itself. Always has. 🔥 👉 Still maintaining the Wikipedia? Or have you already deleted it?
Apr 2026