Give your AI agent awareness of what's happening around you
SyncSo is a new service that provides AI agents with real-time access to local event data, including dates, prices, and booking links. It integrates with various AI platforms like Claude and ChatGPT via MCP connectors or skill files to answer specific local activity queries. Currently, the service is limited to New York City, with plans to expand to other cities in the coming months.
- ▪SyncSo offers live data on categories such as music, theater, sports, and nightlife that are typically missing from static AI training data.
- ▪The service integrates with AI assistants through MCP endpoints or a skill file, requiring a one-time user sign-in for a free monthly search allowance.
- ▪Currently, SyncSo only covers New York City and instructs models to refuse answering for other locations to prevent hallucinations.
- ▪Two primary tools, find_things_to_do and get_details, handle the data retrieval for connected AI agents.
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,487 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 | GitHub |
| Canonical URL | https://github.com/SyncSo-Inc/syncso |
| Publication time | Sun, 04 Oct 2026 03:08:49 +0000 |
| Retrieval time | 2026-10-04T03:24:46.222Z |
| Last seen | 2026-10-04T03:24:46.222Z |
| 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 | usw5hY-XEyjC · 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
SyncSo Let your agents understand what's happening locally, in real time. Ask a model what to do in New York and it names the Whitney. It is not wrong. It is just answering from a guidebook, because that is what it has — a city as a list of places, frozen whenever the training run ended. What it does not have is everything going on inside those places, and the thousand rooms that never make a guidebook. The Tuesday gig. The pottery class with two seats left. The night market under the bridge. Your model has never heard of any of it. SyncSo is that missing half: live music, theater, comedy, film, art, sports, festivals, markets, food and drink, classes, tours, nightlife — the whole surface of a city, each thing carrying its dates, times, prices, booking links and images. Not one category.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.