Show HN: PHNTM ONE: Self healing AI assistant running on a Raspberry Pi5
PHNTM One is a self-healing AI assistant priced at $549 that runs locally on a Raspberry Pi 5 to ensure user privacy. The device features autonomous maintenance capabilities that monitor system health and repair faults without external data transmission. It offers a one-time purchase model with no subscription fees, allowing users to own their data and hardware permanently.
- ▪PHNTM One is a $549 AI assistant built on a Raspberry Pi 5 with 8GB of RAM and a 10.1-inch touchscreen.
- ▪The device runs the Gemma 3 4B model locally, ensuring that user data does not leave the box in its default Private mode.
- ▪It includes self-healing features that automatically monitor disk, memory, and services to restart stuck processes and repair configuration errors.
- ▪Users can enable an optional Autonomous Mode that uses an external Anthropic API key to manage tasks like email and calendar via Telegram.
- ▪The product is sold as a one-time purchase with no subscription, account requirement, or telemetry, and includes free US shipping.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,760 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | PHNTM One |
| Canonical URL | https://www.phntmcore.com/ |
| Publication time | Mon, 28 Sep 2026 18:26:43 +0000 |
| Retrieval time | 2026-09-28T18:45:14.495Z |
| Last seen | 2026-09-28T18:45:14.495Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | bGf47JlKJhjc · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
ComingPHNTM Umbra, the bigger brain · target Holiday 2026 → Your AI. On your desk. A private AI assistant you actually own. It remembers you, reminds you, reads your documents, and talks back. By default, nothing you say ever leaves the box. Order PHNTM One · $549 12 reasons to own one ↓ Now accepting orders · ships within 7–10 business days after payment · free US shipping 100% local by defaultZero telemetryNo accountNo subscription, ever scroll Autonomy It takes care of itself. All four are in the current software (0.8, as of September 25). Self-repair and keeping score are early: they cover specific cases today, and more repair types are in development.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at PHNTM One.
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