Skip to main content

Open-source X Pro setup assistant for builders, founders, and creators — generate X Pro columns, search queries, audience maps, lists, daily engagement workflows, and launch monitoring plans

Project description

XProLane

Open-source X (Twitter) Pro setup assistant for builders, founders, and creators — niche positioning, column layouts, saved searches, lists, workflows, and launch checklists.

Part of Talocode.

Package pip install talocode-xprolane
Import from talocode_xprolane import XProLaneClient
CLI xprolane-py
Repo github.com/talocode/xprolane
License MIT

Why XProLane?

X Pro is powerful but empty dashboards waste time. XProLane generates opinionated setup plans:

  • Niche & product positioning
  • Column recipes
  • Saved search queries
  • List strategies
  • Daily workflows
  • Launch / profile checklists

Local-first SDK/CLI; optional HTTP API when a server is running.


Install

pip install -U talocode-xprolane

Python 3.10+. Depends on requests.


Quickstart

from talocode_xprolane import XProLaneClient

client = XProLaneClient()  # default local/server base

print(client.health())
print(client.doctor())
print(client.demo())

plan = client.setup(niche="ai-builders", product="ScreenLane")
print(plan)

queries = client.queries(niche="founders")
columns = client.columns(niche="ai-builders")
lists = client.lists(niche="founders")
workflow = client.workflow(niche="ai-builders")
launch = client.launch(product="ScreenLane")
profile = client.profile(handle="yourhandle", niche="builders")

# Persist / recall setups (when server supports it)
client.init()
setups = client.list_setups()

Pass base_url= if your XProLane server is not on the default host.


CLI

xprolane-py --help
xprolane-py demo
xprolane-py setup --niche ai-builders --product ScreenLane
xprolane-py queries --niche founders
xprolane-py columns --niche ai-builders
xprolane-py workflow --niche founders
xprolane-py launch --product SearchLane

Client API

Method Purpose
health() / doctor() Service checks
init() Initialize local/server state
setup(**kwargs) Full Pro setup plan
niche(**kwargs) Niche framing
columns(**kwargs) Column layout suggestions
queries(**kwargs) Saved search queries
lists(**kwargs) List strategy
workflow(**kwargs) Daily workflow
launch(**kwargs) Launch checklist
profile(**kwargs) Profile optimization notes
list_setups() / get_setup(id) Saved setups
demo() Sample plan

Related Talocode products

Product Role
XProLane X Pro setup (this package)
SignalLane X growth intelligence
ReplyLane Reply opportunity intelligence
X Agent X automation agent
ScreenLane Screen-aware agent commands

Talocode ecosystem

Project Role
XProLane This product
StackLane Cloud platform
SearchLane Agent web search
Tradia Trading intelligence

docs.talocode.site · github.com/talocode

License

MIT © Talocode

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

talocode_xprolane-0.1.1.tar.gz (6.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

talocode_xprolane-0.1.1-py3-none-any.whl (6.2 kB view details)

Uploaded Python 3

File details

Details for the file talocode_xprolane-0.1.1.tar.gz.

File metadata

  • Download URL: talocode_xprolane-0.1.1.tar.gz
  • Upload date:
  • Size: 6.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for talocode_xprolane-0.1.1.tar.gz
Algorithm Hash digest
SHA256 ecc9062b53a48ba800b8f1d470dc20f4528e0db59bb37ff3a580de6a4a7a08ae
MD5 3fd54c50d9b24194c5cdfd9ccef86530
BLAKE2b-256 3290b9f523b79c44bc622d683530ad883b43e7969fb6fb25645dcf7cbadb7776

See more details on using hashes here.

File details

Details for the file talocode_xprolane-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for talocode_xprolane-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 bd69f4a05f5a066fdcffc03144c8134622bde303e2274a60311e4d15123bf5f9
MD5 afcc10e03b4e3dd0fb28861fbe8182fc
BLAKE2b-256 e10a50f3904ecbeb32f1e6691d0042f31a52cb04ad35858db1b46f9bb19d01ce

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page