Same architectural conviction
built for a different buyer.
Lightfield and Nynch share the same belief: the CRM should fill itself, schemas should flex around the actual work, and natural-language intelligence beats manual data entry. The ICPs diverge sharply. Lightfield was built for venture-backed tech founders running software companies. Nynch was built for the consultant or fractional executive on retainer-led services. Same conviction. Different buyer. Different economics.
A pipeline that thinks in retainers, advisory engagements, billable hours. Built for the individual expert, not the venture-backed tech founder.
Tech Founder vs. Solo Expert
Lightfield made a real architectural bet: AI-native ingestion, flexible schema, lossless customer memory, natural-language intelligence. The bet is correct. CRMs built for cold-data entry will not survive the next decade. Lightfield is a serious product backed by serious thinking.
Where Lightfield and Nynch diverge is the buyer. You are not a venture-backed tech founder running a sales-led software company.
You are a solo consultant or a fractional executive. Your revenue is a retainer, an advisory engagement, billable hours. Your buyer is a CFO or a CMO or a COO at a portfolio of companies, not a series of stranger leads from a marketing funnel. The product surface, the integrations, the pricing model, and the buying motion that work for a tech-founder buyer do not work for the consultant who IS the business.
Nynch is the AI CRM for consultants and fractional executives. Same architectural conviction Lightfield believes in (AI ingestion, schema-flex, lossless memory) applied to a buyer Lightfield will not chase: the individual expert who IS the business.
Three Differences That Matter
Lightfield was built for venture-backed founders. Nynch was built for the consultant.
The buyer is a sales-led tech founder. The integrations, the schema choices, the workflow primitives all centre on a software business with strangers in a funnel and reps closing demos.
The buyer is the consultant or fractional executive. The integrations centre on the inbox, calendar, LinkedIn, meeting transcripts. The workflow primitives centre on retainer relationships, advisory engagements, and the warm network that wins your next engagement. Different economics, different product, different choices at every layer.
Lightfield's lossless memory is a strong primitive. Nynch's Two-Sided Memory Proof is the same primitive applied to the consultant job.
The product holds rich customer context and lets the user query it without losing detail. Lossless memory as a horizontal primitive.
Nynch holds both sides of every relationship. Not just what you said, but what your clients and prospects said. The budget line they mentioned in October, the callback date they offered in February, the referral they promised at coffee. Surfaced at the moment it matters. The same primitive, sharpened to the consultant’s actual job.
Lightfield is in private beta. Nynch is live with paying customers today.
Lightfield has spent multiple years in private beta with waitlist gating, refining the architecture before opening up. For an architectural primitive that matters, that level of care is understandable.
Nynch is live, paid, and used by consultants and fractional executives today. You can connect Gmail, Calendar, and LinkedIn in fifteen minutes and have a morning briefing the next day. The architecture and the ship date are both shipping.
Choose the Tool Built for Your Business Model
- → You run a venture-backed technology company with a sales-led GTM.
- → Your buyer is a stranger entering a funnel and your reps close demos.
- → You can wait through a private-beta waitlist for an architectural primitive you believe in.
- → You are a consultant or fractional executive whose revenue is retainers and advisory engagements.
- → Your buyer is a CFO, CMO, or COO at a portfolio of companies, not a funnel lead.
- → You want the same AI-native architecture, live and paying, on your real data this week.
- → You want a CRM that holds both sides of every relationship.
Your network is sending
buying signals right now.
See what your Sleeping Network looks like and discover how much dormant network value is hiding in relationships you have neglected.
Nynch vs. Lightfield, Answered
Lightfield and Nynch share the same architectural conviction: AI-native ingestion, flexible schema, natural-language intelligence, and replacing manual CRM data entry. The ICPs diverge. Lightfield targets venture-backed tech founders and vertical SaaS. Nynch targets the consultant or fractional executive on retainer-led services. Same conviction, different buyer, different economics.
Lightfield was built for venture-backed founders running technology companies, where the buyer is a sales-led tech founder and the deals are software contracts. Consultants and fractional executives have a different shape of work. Retainers, advisory engagements, billable hours, project-led revenue. The product surface, the integrations, the pricing model, and the buying motion all centre on the tech-founder buyer. Nynch is purpose-built for the consultant who IS the business.
Lightfield’s lossless customer memory is a strong primitive. Nynch’s Two-Sided Memory Proof is the same primitive applied to the consultant job: not just what you said and what you should do next, but what your clients and prospects said, what they promised, and when they asked you to circle back. The relationship gets two reliable memories instead of one fallible one.
Both products run AI-native ingestion across email, calendar, and meeting transcripts. Nynch adds LinkedIn job change monitoring, news mention detection, and a daily action briefing as the primary product surface. Lightfield’s product surface centres on a queryable schema-flex database and AI agents the user configures. Different surface, same underlying conviction.
Yes. Nynch connects to Gmail, Calendar, LinkedIn, and Zoom to build your relationship database automatically. You don’t need to export anything from Lightfield. Nynch learns your relationships from your actual communication patterns. You can run both systems in parallel and migrate at your own pace.