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The market-radar's sensing pass — sweep recent public signal (HN + Reddit, free, recency-windowed) on a company or theme and bucket every hit against the contract's watch signals (distress, ownership, momentum, valuation, AI-pressure). Use to scout a candidate or refresh the pipeline.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | radar-sweep |
| description | The market-radar's sensing pass — sweep recent public signal (HN + Reddit, free, recency-windowed) on a company or theme and bucket every hit against the contract's watch signals (distress, ownership, momentum, valuation, AI-pressure). Use to scout a candidate or refresh the pipeline. |
Thesis-driven: the hunt (band, regions, sectors, signals, weights, dedup sources) lives in a
thesis file — theses/bending-spoons.yaml is the default and mirrors Bending Spoons' contract.
To scout for another acquirer: copy that file OUTSIDE this repo, tune every field (band, regions,
sector hints, signal keywords, weights, event queries, dedup csvs), and add --thesis <your file>
to every command. The engine is fully generic; the thesis is the strategy — keep yours private. Start any session with
python3 ${CLAUDE_SKILL_DIR}/scripts/radar_sweep.py --preflight (thesis + sources status).
Run the deterministic sensing pass, then judge — never the reverse. The hunt is COHERENT WITH THE SUBJECT: it buys formerly-public companies, carve-outs from listed parents, and private digital brands — so the radar works in three tiers, structured-first:
Tier 1 — STRUCTURED (EDGAR, free): the mechanical gates and ownership events for anything US-listed (including EU companies listed in the US, which file 20-F/IFRS — read natively):
--universe CY2024 — the mechanical top of the funnel (US): every US filer's annual revenue that
year (union of 3 XBRL revenue concepts, deduped by CIK, owned/pipeline names removed), filtered
to the $50M–$5B band. ~2,500 names in-band for CY2024 — Bending Spoons' own funnel scale (~L2617);
narrow it with --gates (sector + region) per candidate--universe-eu CY2024 [--countries IT,DE,FR] — the same net over the EU-listed universe, from the
ESEF repository (filings.xbrl.org, free, keyless): enumerates every EU-regulated-market filing for
the period + countries, fetches IFRS revenue per filing (capped by --limit, default 60 — raise it
or narrow --countries to go deeper; enumeration is always complete), band-filters in native
currency (indicative — mostly EUR, not USD-converted), removes owned/pipeline. Deep-dive any name
with --company. This closes the EU half of the funnel the US frames endpoint can't see.--events --days 30 — recent 8-Ks with sale/divestiture language, digital-SIC filtered--gates "TKR1, TKR2" — per candidate: revenue band · HQ EU/NA · digital SIC → PASS/FAIL [derived]Tier 2 — CHATTER (HN + Reddit, free): brand/theme sweeps bucketed on the watch signals,
--rank for maturity scores. Corroboration and early smoke — never the primary evidence.
Tier 3 — PRESS (WebSearch, use it seriously): for private companies and EU-listed names EDGAR cannot see (most of Bending Spoons' >1,000-target universe is private — this tier IS the "manual analysis" Bending Spoons itself performs). Recipes — run 2+ and triangulate, date every claim:
"<company>" ("explores sale" OR "strategic alternatives" OR "in talks to sell")"<parent>" (divest OR carve-out OR "non-core") <asset>site:layoffs.fyi <company> · "<company>" (layoffs OR restructuring)"<company>" (subscribers OR MAU OR users) (decline OR churn OR fell)"<company>" (valuation OR "down round" OR writedown)"<company>" (vendita OR cession OR Übernahme OR "te koop")
Everything from tiers 2-3 is [to-validate — press only]; tier 1 values are [derived] from EDGAR.Tier 1 extensions (live): --company "Legal Name" — the EU-listed + unlisted chain: GLEIF
(identity, LEI, HQ country — free, keyless) → ESEF/filings.xbrl.org (structured IFRS revenue via xBRL-JSON — free, keyless;
NOTE: repository coverage varies by country — FR/IT/NL/Nordics are good, DE is partial — so "no
filing found" never means "not listed") → honest n.d. for private companies
(no LEI/no ESEF: that slice is chatter + press + judgment; UK privates via Companies House once
CH_API_KEY is set). --loyalty "Brand" — the brand-strength card: committed base (App Store rating
volume/avg) · brand interest (Wikipedia trend %) · community (subreddit size where reachable) —
proxies, monitorable by snapshot+diff; retention/NRR proper is non-public and enters at diligence.
--forms --days 5 — ownership-change filings from the EDGAR daily
index (SC 13D activist stakes · SC 13E-3 going-private · 25/15 delisting), sector-filtered per thesis.
Tier 2 extensions (live): --interest "Brand" — Wikipedia-pageviews momentum (window vs previous
window, % delta); --appstore "App" — rating volume/average as a committed-base proxy (iTunes, keyless).
Source roadmap (researched and endpoint-verified; not yet integrated — in value order):
| source | gives | access | effort |
|---|---|---|---|
| filings.xbrl.org (ESEF) | structured IFRS revenue for ALL EU-listed cos (~25k filings, 28 countries) | free, no key, filings.xbrl.org/api | M (XBRL parsing) |
| UK Companies House | private-UK accounts (turnover where filed) + PSC ownership | free key, 600 req/5min | M |
| GLEIF LEI | HQ/legal form + parent-child ownership graph; the cross-source join key | free, no key, api.gleif.org/api/v1 | S |
| WARN Firehose | 50-state layoff notices, daily, bulk CSV/JSON | free (check ToS) — or self-host biglocalnews/warn-scraper | M |
| GitHub API | repo-activity decline for dev-tool targets | free, 5k req/h with token | M |
| Tranco (+ CrUX/Cloudflare Radar) | domain-rank trend for web-SaaS targets | free (Tranco keyless; CrUX/Radar free keys) | S-M |
| npm / PyPI stats | dev-adoption momentum | free, no key | S |
| Pappers (FR) / BRREG (NO) / PRH (FI) | private-company data per country | free tiers vary | S-M |
| growth rankings (FT1000, Deloitte Fast 500 EMEA, Inc 5000, Sifted leaderboards) | annual PRIVATE-company universe lists with revenue/growth indications; the signal is the DELTA — names that stop appearing = growth over, maturation begins | public annual lists (download/scrape once a year; Sifted partly paywalled) | S (annual diff) |
| Skip (verified weak): layoffs.fyi (fragile scrape + attribution), Polymarket (thin M&A coverage), | |||
| Google Play / Google Trends (no reliable free automation), SimilarWeb/data.ai/Sensor Tower (paid only). |
Setup (once per shell, required by SEC EDGAR): export RADAR_CONTACT="Name email@domain" —
the structured tier (--gates/--events/--universe) returns 403 without a real contact.
python3 ${CLAUDE_SKILL_DIR}/scripts/radar_sweep.py "<company or theme>" --days 30
Several candidates at once → --rank "A, B, C": one maturity score per candidate
(formula declared in the script header, [decision]), owned/pipeline names excluded
automatically. Widen with --days 90 for slow-moving targets.capabilities/actions/market-radar.md) and ranked by engagement. Everything in it is
press/social → [to-validate — press only]; never present a hit as a fact.market-radar agent with the brief in its prompt — it has no execution
tools, so give it the brief; it drafts the propose-params): does the signal say buyable now?
Which of the nine Target gates does the candidate plausibly pass?python3 -c "import sys; sys.path.insert(0,'mcp'); import engine, json; print(json.dumps(engine.propose('source', PARAMS), indent=2))"
and STOP: admission into the pipeline is the human gate (engine.apply with the user's name).WebSearch remains a complementary source for press the sweep can't reach — same
[to-validate — press only] rule.
Run the model's audit (the model's audit service, mechanical subset) and summarize — green/red, defects with the invariant each violates. Run after any batch of edits.
Close an acquisition: create the Deal + Business + Interface(s) (GATE 2: go/no-go is the user's).
The desk over the whole deal machine — pipeline status, pending proposals, and which verb applies next. Start here ("/deal-desk") to see the state and be guided to the right action skill.
The hiring assistant — run a candidate through Bending Spoons' selection funnel and score them against the disclosed gates. Read-only, advisory: it drafts a recommendation; the committee decides. The people-side twin of screen-target.
Screen a Target against the hard gates (the screen verb). Applies auto — the write IS the screen.
Create a new Target in the pipeline (the source verb). Human-gated: admission needs the user's approval.