Back to browse
Nummi – AI companion with memory and daily guidance

Nummi – AI companion with memory and daily guidance

by ab-abg·Mar 1, 2026·1 point·1 comment

AI Analysis

MidNiche Gem

Memory-aware spiritual AI with 21% conversion, but astrology apps already saturated.

Strengths
  • 21% signup-to-paid conversion on 10k+ signups signals genuine user retention
  • Persistent memory layer differentiates from stateless chat assistants
  • Dual iOS + Android native apps with offline capability
Weaknesses
  • 'Spiritual AI' is marketing gloss—core value is memory + daily prompts, not astrology insight
  • Competes against Co-Star, AstroTalk, and generic AI companions; no technical moat
Category
Target Audience

Spiritually-oriented individuals seeking personalized daily reflection and guidance

Similar To

Co-Star · AstroTalk · Replika

Post Description

Hi HN, I’m Arsh, founder of Nummi.

We’ve been quietly building and testing nummi.ai, a personal AI companion that:

Remembers your journey and context over time,

Helps you reflect, understand yourself, and navigate life with clarity,

Offers daily guidance & personalized insights (including spiritual/astrology-based timing) based on your birth chart and tracked patterns.

Unlike generic chat assistants, Nummi is designed as an ongoing companion — not a search tool or generic productivity bot. It learns from your inputs, your patterns, and your preferences so responses get more contextual and relevant over time.

Why we built it

In early testing:

We’ve seen 10k+ signups

(~21% signup-to-paid conversion) These are very early numbers, but users seem to value the ongoing connection and personal context. (This isn’t “astrology predictions” — it’s reflective AI that combines memory + optional vedic insights.)

We’re experimenting with features like:

Personalized daily insight prompts

Habit support and emotional check-ins

Memory that grows the quality of responses over time All with privacy and optionality at the core.

Open questions for HN

How can we better signal long-term value (vs one-off chat)?

What onboarding patterns help users unlock value faster?

To product people: how do you think about AI companions that mix reflection + memory + optional metaphysical context?

Happy to answer any questions — and genuinely looking for feedback.

Similar Projects

AI/MLMid

Continual Learning with .md

Scrappy v1 with dangerous setup flags and zero stars on GitHub.

Niche GemBold Bet
wenhan_zhou
34341mo ago
Developer Tools●●Solid

Mimir – Shared memory and inter-agent messaging for Claude Code swarms

Mimir hooks into Claude Code lifecycle events so agents can 'mark' facts (e.g., "API uses snake_case") into a DuckDB-backed memory and RAG pipeline, then auto-injects that context as additionalContext for later agents. It's a pragmatic, well-scoped solution to the annoying problem of agent amnesia — very useful if you run agent swarms, but its impact is limited by Claude Code adoption and the need for the surrounding infra (BGE keys, hooks).

Niche GemShip It
deejaydev
213mo ago