From spam filters to slop scores.

Hi, I’m Manav Mishra, creator of Zero Slop.

I’ve spent my career building technology at Intel, Microsoft, Google, HPE, Silicon Valley startup Silver Peak, and MSCI on Wall Street. My work has spanned engineering, product, design, and business leadership across enterprise technology, data, analytics, and AI.

At Microsoft, I helped build large-scale anti-spam, anti-phishing, anti-malware, anti-spyware, and reputation systems for Office, Windows, and browsers, including technology that became part of Microsoft SmartScreen.

Over the years, I’ve helped build and launch products and platforms used at global scale, including Windows 7, Windows Live Mesh (OneDrive), Google Analytics, HPE Helion Stackato, Silver Peak EdgeConnect SD-WAN, and the platform powering AI-driven risk and portfolio intelligence for institutional investors at MSCI.

Today, I’m building an agentic AI startup.

GitHub Scholar LinkedIn X

HPE SILVER PEAK MSCI

Select Research & Work

2,496 citations across papers and patent records on Google Scholar, September 17, 2026

23 US patents granted grant records listed on Google Scholar, counted separately from applications

10 peer-reviewed publications reported on my LinkedIn profile; selected papers and other references are linked below

Patents

Phishing detection, prevention, and notification US Patent 8,291,065 and family
Spam filtering with probabilistic secure hashes US Patent 7,660,865
Advanced URL and IP features US Patent 7,409,708

Show 7 more patents

Using IP address and domain for email spam filtering US Patent 7,689,652
Determining the reputation of a sender US Patent 7,979,703
Dynamically protecting against web resources associated with undesirable activities US Patent 7,831,915
Challenge response systems US Patent 7,904,517
Proofs to filter spam US Patent 8,065,370
Secure safe sender list US Patent 7,599,993
Extensible search term suggestion engine US Patent 8,515,984

Publications and references

Scheduling in optical WDM networks using hidden Markov chain based traffic prediction Photonic Network Communications, 2001
Scheduling in optical WDM networks using hidden Markov chain-based traffic predictors IEEE ICON 2000, Singapore. Best Paper Award
Microsoft SmartScreen real-time reputation checks for the web

Show 2 more references

Trends in spam products and methods Conference on Email and Anti-Spam, 2004
Enabling architectures for next generation optical networks Springer book chapter, 2005

What workers report about AI output.

Nearly 40%

of reported time savings lost to rework

Workday’s November 2025 survey covered 3,200 active AI users at large employers. They reported time spent correcting, rewriting, and checking AI output across workplace tasks, not writing alone. Only 14% reported consistently positive net outcomes.

66%

cite almost-right answers as a frustration

In Stack Overflow’s 2025 survey, 45% also cited extra debugging. The question received 31,476 responses.

1h 56m

reported cleanup time per workslop incident

BetterUp and Stanford’s survey (PDF) covered 1,150 full-time US desk workers in August and September 2025. The $186 monthly cost per affected employee is a survey-based estimate, not an audited loss. Forty-two percent trusted the sender less afterward.

The Slop Tax shows the cost for one document. Try your draft in the free editor.