Saif Modan

SPONSORED PRODUCT EXPLAINER — 1 ORIGINAL POST A LinkedIn post that introduces your product through a clear developer problem, explains the relevant workflow, and directs readers to an agreed resource or call to action. Useful for AI tools, APIs, developer platforms, and SaaS products. EDUCATIONAL CAMPAIGN — 3 ORIGINAL POSTS A connected series: the problem and context, the product or workflow, and practical takeaways. Each post has a distinct angle. We agree on the sequence and publishing schedule before the campaign begins. REPOST WITH MY COMMENTARY Your existing LinkedIn post shared with an original introduction from me. I explain its relevance to developers or AI learners and add context around the announcement, resource, or use case. SIMPLE REPOST Your existing LinkedIn announcement, event, or educational resource shared to my feed. This format does not include a separate original explainer. FOR EVERY COLLABORATION We agree on the audience, key message, deliverable, links, factual review, and schedule. Content uses my own voice with clear sponsorship disclosure. Hands-on claims require actual product access and use. SCOPE TO CONFIRM Video, code tutorials, detailed testing, extra revisions, paid advertising usage, and exclusivity are discussed separately before booking. Choose an offer above and send your brief through Naano.

CONVERSATIONAL AI HUB A Python and Streamlit project bringing multiple LLM providers into one interface, with PDF Q&A using RAG, web search, conversation memory, session persistence, and voice input/output. The project is featured in my selected LinkedIn posts. PYTHON LEARNING RESOURCE A collection of 140+ basic Python programs with questions, working code, and sample output, covering core concepts and common practice problems. See the featured resource post for the original example. LEARNING THROUGH COMMUNITY Hands-on exploration of agentic workflows, semantic search, embeddings, and agent communication at the Elastic User Group Gujarat workshop. These examples show the technical interests and practical learning behind my writing. Explore the featured posts above to see my explanations and project context.

1. Share the brief Send your product link, campaign goal, intended audience, key message, and preferred publishing window. 2. Agree on the scope We confirm the format, deliverables, product access, review process, and price before the collaboration starts. 3. Develop the content I connect the product to a relevant developer problem and explain the use case in clear language. Any experience-based statements reflect what I have actually explored. 4. Review and publish We check product facts and agreed messaging, then publish with clear sponsorship disclosure. Timing and any reporting are agreed for each campaign.

BEST FIT AI tools, developer platforms, Python resources, open-source projects, productivity SaaS, and technical learning communities with a clear use case for developers or AI learners. WHAT TO SEND Your product URL, the problem it solves, who it is for, your campaign objective, and the offer you want to book. Include demo access or documentation when a walkthrough is part of the brief. HOW TO CHOOSE A FORMAT Choose an original post for a focused explanation, a three-post campaign for a connected story, a commentary repost for added context, or a simple repost to share an existing announcement. BEFORE WE START We agree on the content angle, deliverables, review process, and schedule through Naano. Extra formats, usage rights, exclusivity, or additional revisions should be discussed as part of the scope. MEASURING THE COLLABORATION Define success around your campaign goal and the reporting available for the agreed format. Reach, clicks, and sales vary; specific outcomes are not guaranteed.