AI & Machine Learning
Curated experts and resources for ai & machine learning.
Recommended Experts (15)
Mahesh Ram
1206 messages
Community member active in community, gtm strategy, and sales operations.
Observed Signal
Debu
163 messages
Community member active in ai ml, compliance, and enterprise sales.
Observed Signal
Kannan
55 messages
Community member active in community, ai ml, and startup ops.
Observed Signal
Hitesh Shah
53 messages
Community member active in product development, community, and india ops.
Observed Signal
Sophia Narrato
42 messages
Community member active in marketing, community, and product development.
Observed Signal
Shreesha Ramdas
390 messages
Community member active in community, startup ops, and fundraising.
Observed Signal
Vijay Chakravarthy
327 messages
Community member active in product development, gtm strategy, and enterprise sales.
Piyanka Jain
254 messages
Community member active in ai ml, product development, and fundraising.
Reena Gupta
166 messages
Community member active in ai ml, product development, and startup ops.
Protik
121 messages
Community member active in product development, engineering, and ai ml.
Durga
102 messages
Community member active in ai ml, startup ops, and community.
Ramesh Panuganty
101 messages
Community member active in ai ml, enterprise sales, and b2b saas.
KK Mookhey
79 messages
Community member active in ai ml, enterprise sales, and compliance.
Manoj
70 messages
Community member active in ai ml, enterprise sales, and product development.
Suhas Motwani
70 messages
Community member active in community, ai ml, and startup ops.
Resources (9)
How Tech Giants Harvest Data for AI
NYT analysis of how major tech companies are leveraging proprietary data as a strategic asset in the AI era. The article discusses data as a key acquisition driver and competitive moat. Community members noted this highlights why 'data being so critical and potentially a key reason to buy the company.'
Rec For:Founders considering data strategy, M&A opportunities, or building AI products where proprietary data creates defensibility.
Zoom's Federated AI Approach for Quality and Performance
Technical deep-dive by Zoom's CTO Xuedong Huang (co-authored with Mahesh) explaining Zoom's federated AI architecture. The post covers how Zoom balances quality, performance, and affordability by using multiple models for different features rather than a one-size-fits-all approach. Provides insights into building production AI systems at scale.
Rec For:AI product leaders and CTOs building multi-model systems who need to optimize for both quality and cost at enterprise scale.
How Zoom's Federated AI Maximizes Performance, Quality, and Affordability
Continuation of Zoom's federated AI series, detailing the architecture and decision framework for model selection across different use cases. Explains how federated approach enables cost optimization while maintaining quality standards. Written by Zoom leadership to share enterprise AI implementation patterns.
Rec For:Technical leaders and product managers implementing AI features who need to balance cost, quality, and performance trade-offs.
How to Escape Competition: Building Enduring Value with LLMs
Strategic framework by Benchmark's Sarah Tavel on building defensible AI products. Discusses application-level value creation beyond model capabilities and how to avoid commoditization in the LLM era. Shared in discussion about moats and whether 'solving a real problem well' is sufficient for building sustainable businesses.
Rec For:AI startup founders concerned about defensibility and building lasting competitive advantages in a rapidly commoditizing space.
The LLM Reasoning Debate Heats Up
Analysis of the ongoing debate around whether large language models truly 'reason' or simply pattern-match. Examines recent research and industry perspectives on LLM capabilities, limitations, and implications for product development. Referenced by community members discussing 'frontier models perform competently even on novel tasks.'
Rec For:AI product builders and technical leaders who need to understand current LLM capabilities and limitations for product planning.
Ask Enola - AI Platform by Funda Member Piyanka Jain
AI platform founded by Piyanka Jain (Funda member, Austin-based). Most shared tool in the community (9x). Introduction post welcomed Piyanka to the community and invited founders to learn more about the product and connect with the team.
Rec For:Founders interested in AI tools built by fellow community members or seeking to connect with AI founders in Austin.
Narrato AI Content Genie - Product Hunt Launch
Narrato's Product Hunt launch for AI Content Genie, trending #1 for the day and week. Built by Funda community member Sophia. The launch demonstrated strong community support with founders providing upvotes and feedback. Narrato is an AI-powered content creation and marketing workspace.
Rec For:Content and marketing teams looking for AI-powered workflows, or founders planning Product Hunt launches who want to learn from successful community examples.
GPTGuard - AI Security Platform by Protecto
Product Hunt launch by Protecto (Funda member Amar Kanagaraj) for GPTGuard, an AI security and privacy platform. The community rallied to support the launch with upvotes and comments. Protecto focuses on data protection and compliance for AI applications.
Rec For:Founders building AI products who need security, privacy, and compliance solutions, especially in regulated industries.
Konfer AI-GRC: Control Questions Generator for AI Governance
Product announcement from Konfer (Funda member Debu's company) launching AI-GRC tools for enterprise risk officers. The platform generates governance controls based on specific AI regulations, helping companies develop compliance frameworks. 'You can now use these controls in your organization.'
Rec For:Risk officers, compliance teams, and founders building AI products in regulated industries who need governance frameworks.