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
Metadata
Release files for talocode-xprolane 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| talocode_xprolane-0.1.1.tar.gz | 6.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| talocode_xprolane-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.4 kB
Release files / talocode_xprolane-0.1.1.tar.gz
| Download URL | talocode_xprolane-0.1.1.tar.gz |
|---|---|
| Size | 6.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ecc9062b53a48ba800b8f1d470dc20f4528e0db59bb37ff3a580de6a4a7a08ae
|
|
BLAKE2b-256 checksum How to use checksums |
3290b9f523b79c44bc622d683530ad883b43e7969fb6fb25645dcf7cbadb7776
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Release files / talocode_xprolane-0.1.1-py3-none-any.whl
| Download URL | talocode_xprolane-0.1.1-py3-none-any.whl |
|---|---|
| Size | 6.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
bd69f4a05f5a066fdcffc03144c8134622bde303e2274a60311e4d15123bf5f9
|
|
BLAKE2b-256 checksum How to use checksums |
e10a50f3904ecbeb32f1e6691d0042f31a52cb04ad35858db1b46f9bb19d01ce
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Security for talocode-xprolane 0.1.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.