Show HN: I'm tired replying my social media visitors, I let AI agent handle it
The post announces a tool called Agle that uses AI to respond to direct messages on social media. It claims the AI can answer correctly on behalf of the user, even outside normal hours. The service aims to prevent missed inquiries and improve customer engagement.
- ▪Agle is presented as an AI agent that can handle direct messages for users.
- ▪It is designed to respond accurately according to the user's business knowledge.
- ▪The service operates continuously, allowing responses to be sent at any time.
- ▪The goal is to reduce missed messages and prevent customers from turning to competitors.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,376 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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 | Agle |
| Canonical URL | https://www.agle.app/ |
| Publication time | Thu, 13 Aug 2026 03:03:13 +0000 |
| Retrieval time | 2026-08-13T03:55:46.858Z |
| Last seen | 2026-08-13T03:55:46.858Z |
| 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 | CWlkOP3T3gZJ · 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
Every DM you miss is a question that did not get answered — and a person who moved on to someone who did.You cannot be online 24/7. But your customers do not know that. They send a message at 11pm expecting a reply. They move on by morning.Agle fixes this. Not with a slow-reply warning. With an AI that actually knows your business and answers correctly — every time, while you sleep.
Excerpt limited to ~120 words for fair-use compliance. The full article is at Agle.
Discussion
0 commentsMore from Agle
