xi

xioc – Extract IOCs from text, including “escaped” ones

Hacker News

xioc – Extract IOCs from text, including “escaped” ones

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io, including · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
60%60% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Li
Likely – Get opinions from your closest ones37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Likely – Get opinions from your closest ones

Hacker News1
Se
Search publications that cite all your submitted ones38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Search publications that cite all your submitted ones

Hacker News1
Ex
Extract Text from Webpage66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Extract Text from Webpage

Hacker News5
Ex
Extract text from any pdf in the browser61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Extract text from any pdf in the browser

Hacker News12
Ro
Rootful containers can be more secure than rootless ones [Podman]44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rootful containers can be more secure than rootless ones [Podman]

Hacker News2
an
an API to extract text from a PDF60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

an API to extract text from a PDF

Hacker News51
URLtoText
URLtoText67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Extract clean text from any website

Indie Hackers1ai
xu
xurls – Extract urls from text in Go47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

xurls – Extract urls from text in Go

Hacker News8
Ho
Hotpdf – Search and Extract text within PDFs66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hotpdf – Search and Extract text within PDFs

Hacker News10
LangExtract
LangExtract28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Extract, Translate, and Analyze Text with LangExtract

Indie Hackers