Naresh i Technologies

You can tell this isn't the first time he's done this. That's the part most people miss about trust. Mozilla ran AI against their own Firefox codebase before release. 271 real vulnerabilities. Almost no false positives. They found what attackers would have found first. The breach is expensive. The loss of trust is catastrophic. Customers churn. Procurement freezes. Boards suddenly want weekly updates. And suddenly the entire GTM revenue team is exposed: Product, Sales, Marketing, Customer Success, Revenue Operations, and Enablement. Nobody asks who had the best campaign. They ask - Who do we already trust? That decision was made long before the incident happened. Trust was built through consistency, clarity, and the language the market learned to believe. Cybersecurity just exposes the truth faster than most industries. Execution Beats Theory. Every Time. 👋 Hi, I’m Tim. I help engineering-led startups and mid-market scaleups build performant GTM systems, unify revenue, and scale with Agentic AI. At Entry Point 1, we partner with engineering-led teams that operate intentionally and play to win. We’ve helped generate $1B+ in revenue. Build tighter GTM for your real team and agents: https://lnkd.in/gB64Mt2D Entry Point 1 #gtm #agenticai #gtmarchitecture #gotimmarket #cybersecurity

Everyone is producing more content about AI. Most of us aren’t trusting it anymore. Walked down Fillmore, Hayes, and Valencia streets this week and heard the same three conversations about AI before I finished my coffee each time. Model rollouts. Agent building. Layoffs. Not what AI does. How it's being built. Which models. What breaks at scale. Who just lost their job to one. San Francisco is where the specifics get worked out. The details that will make it into a product six months from now are being debated over coffee right now, blocks from my house. That matters for what comes next. Stanford's 2026 AI Index says organizational adoption hit 88%. Generative AI reached 53% of the population in three years, faster than the PC and faster than the internet. But Edelman's 2026 Trust Barometer, 33,938 respondents across 28 countries, shows the other half of the story. 70% of people are unwilling or hesitant to trust someone with different values, facts, or problem-solving approaches. Trust in business sits at 64. The income-based trust gap in the U.S. has doubled since 2012. Buyers are trusting less. Builders are producing more. The two curves are moving in opposite directions. The teams winning in 2026 are not the heaviest AI users. They kept their credibility signal intact while competitors turned into content firehoses. Brand is your trust index. Stripe's documentation is the clearest example I know. Every developer who reads it finds out the claims are true. That is the moat. It compounds every time a promise holds. It is the thing AI cannot replicate and competitors cannot buy. It is the sum of every specific claim you made that turned out to be true. Naming the problem first is how you arrive first. Understanding why the problem exists is how you stay ahead. Both matter more than ever. Protect it like the moat it is. If you're running a GTM system through this environment, I'm open to a short conversation. Execution Beats Theory. Every Time. 👋 Hi, I'm Tim. I help engineering-led startups and mid-market scaleups build performant GTM systems, unify revenue, and scale with Agentic AI. At Entry Point 1, we partner with engineering-led teams that operate intentionally and play to win. We've helped generate $1B+ in revenue. Entry Point 1 #gtm #agenticai #gtmarchitecture #gotimmarket vc: mbclimbssometime