diff --git a/README.md b/README.md index e0c89e7..24d59cb 100644 --- a/README.md +++ b/README.md @@ -55,6 +55,37 @@ Any dataset. Any source. Always fresh. That's the idea. 5. **You get a structured table**: browse it in the UI, export CSV or XLSX 6. **Set a refresh cadence** and the agents re-run on schedule, keeping the dataset current automatically +## Example Workflow: Find Funded Leads (and Your Next Job) + +Companies that just raised funding usually have budget and urgent problems to solve, which makes them useful sales leads, hiring targets, and market signals. BigSet can turn one sentence into a live dataset of those companies. + +### 1. Type one sentence + +```text +Startups that raised funding in the last 30 days, with what they do, funding stage, location, and careers page. +``` + +BigSet infers the schema: company, description, funding stage, location, careers page, source links, and any other useful columns it needs. + +### 2. Let agents research the live web + +The orchestrator discovers recently funded companies, then sub-agents fan out in parallel to research one company each. Rows are deduplicated, and findings are checked against public sources before they land in your table. + +### 3. Export and refresh + +Export the dataset to CSV or XLSX, then set a refresh cadence: 30 minutes, 6 hours, 12 hours, daily, or weekly. The agents re-run on that schedule so the list keeps pulling in fresh companies as funding news drops. + +### Prompts to Steal + +| Goal | Prompt | +|------|--------| +| Find leads or clients | `Startups that raised funding in the last 30 days, with what they do, funding stage, location, and careers page.` | +| Apply before jobs are posted | `YC companies currently hiring engineers, with funding stage, location, and number of open roles.` | +| Spot side-project gaps | `Popular B2B SaaS tools that offer a free tier, with category, free-tier summary, and pricing page URL.` | +| Pick what to learn next | `AI startups hiring engineers right now, with the specific skills and stack listed in each role.` | + +Funded startups are leads. What gets funded is a signal for your next idea. What they hire for is your learning roadmap. + ## Things to Know Before You Start - **It's experimental.** Expect rough edges; schema inference isn't always perfect, and some topics work better than others. diff --git a/frontend/app/dataset/new/page.tsx b/frontend/app/dataset/new/page.tsx index 285cbde..52c0222 100644 --- a/frontend/app/dataset/new/page.tsx +++ b/frontend/app/dataset/new/page.tsx @@ -43,6 +43,29 @@ const BACKEND_TYPE_MAP: Record = { boolean: "boolean", }; +const EXAMPLE_PROMPTS = [ + { + label: "Funded startup leads", + prompt: + "Startups that raised funding in the last 30 days, with what they do, funding stage, location, and careers page.", + }, + { + label: "Engineering hiring targets", + prompt: + "YC companies currently hiring engineers, with funding stage, location, and number of open roles.", + }, + { + label: "Free-tier SaaS gaps", + prompt: + "Popular B2B SaaS tools that offer a free tier, with category, free-tier summary, and pricing page URL.", + }, + { + label: "AI skills roadmap", + prompt: + "AI startups hiring engineers right now, with the specific skills and stack listed in each role.", + }, +]; + function mapBackendColumn(col: InferredColumn, index: number): ProposedColumn { return { id: String(index + 1), @@ -237,6 +260,29 @@ export default function NewDatasetPage() { /> +
+

+ Try an example +

+
+ {EXAMPLE_PROMPTS.map((example) => ( + + ))} +
+
+ {error && (
{error}