You are considering a small software product and want writers who discuss customers and product decisions. A follower ranking is easy to find, but it may not match your stage. Begin with the problem you want to understand.

Search a question rather than a title

Use timeline search for a concrete topic such as early user feedback. Preserve keyword, search_type and cursor coverage. Read posts before selecting accounts. Appearing in results does not verify a person's claimed entrepreneurial identity.

Check profiles and sustained relevance

Retrieve the candidate's profile and posts using the correct screen_name or rest_id. See whether the relevant discussion continues beyond one matching repost. Attribute biographical claims to their source and leave unverifiable achievements unresolved. Posts cannot establish business revenue.

Give each account a specific reading purpose

A table can include source, relevant posts, topics, practical value, limits and questions to follow. Different people may help with product details or team experience; they need not share one overall score. AI may organize themes but should not infer character or business ability from tone.

Try reading before committing attention

Use a short trial period to note which sources actually help your thinking. The endpoints do not follow accounts or schedule digests automatically. Deliver a candidate reading list rather than an authoritative entrepreneur ranking, keeping uncertainty visible instead of filling it with popularity.

Requests used in this project

Request URL and parameters

GET https://api.trmesh.com/openapi/api/v1/twitter/web/fetch_search_timeline

Parameter Type Required Meaning
keyword string Yes Search Keyword
search_type string No Search Type
cursor string No Cursor

Run the Python example

Install requests and set TRMESH_API_TOKEN in your environment. Replace the sample identifiers with the public object you intend to inspect. Example IDs may no longer be available.

import os
import requests

# Read your own developer key from the server environment.
url = "https://api.trmesh.com/openapi/api/v1/twitter/web/fetch_search_timeline"
params = {
    "keyword": "Elon Musk",
    "search_type": "Top"
}
response = requests.get(
    url, params=params, timeout=30,
    headers={"Authorization": f"Bearer {os.environ['TRMESH_API_TOKEN']}"},
)
response.raise_for_status()
payload = response.json()
print(payload)  # Inspect the actual response before mapping fields

Endpoint documentation · Free profile tool

API calls use your TRMesh account allowance. Check the endpoint price before running a script.