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Threat Level: HIGH
2 Critical, 2 High, 1 Moderate Active bills in your Threat Monitor that may impact your organization or district. Click to view Threat Monitor →

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Accepted formats: hr1, H.R. 1234, s567, S. 234 β€” Federal bills only
πŸ“œ History
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⚑ Recent Activity

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🚨 Active Threat Monitor

  • One Big Beautiful Bill Act H.R. 1
    Contains 23 provisions affecting voter ID requirements. Impacts 12 states. Could affect 2.3M voters in your district.
    πŸ“… Vote: Jan 24, 2026 🎯 Impact: CRITICAL πŸ“Š Pass Probability: 52%
  • Prosecutors Need to Prosecute Act S. 234
    $4.2B unfunded mandate for states. Hidden provision on page 847 eliminates small business deductions.
    πŸ“… Vote: Feb 3, 2026 🎯 Impact: CRITICAL πŸ“Š Pass Probability: 48%
  • Healthcare Mandate Repeal H.R. 789
    Removes 3 existing rules. Adds 7 new ones. The result: more paperwork and extra costs for your organization.
    πŸ“… Vote: Feb 10, 2026 🎯 Impact: HIGH πŸ“Š Pass Probability: 61%
  • Federal Spending Freeze EO 14127
    90-day pause on non-essential contracts. Could hold up $12B in building and road projects in your state.
    πŸ“… Effective: Immediate 🎯 Impact: HIGH πŸ“Š Challenge Probability: 35%
  • Data Privacy Act NY S-1234
    A wide-reaching state privacy law. It may clash with current federal rules.
    πŸ“… Vote: Mar 1, 2026 🎯 Impact: MODERATE πŸ“Š Pass Probability: 78%
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H.R. 1235 Committee
58 Risk
Federal Infrastructure Bank Act of 2025
Creates a Federal Bank to fund long-term building projects that bring in money, with at least 10% going to rural areas.
🚩 4 Red Flags βœ“ 4 Good Terms
Data Sources: πŸ“Š Congress.gov API
Bill Text & Status
Real-time bill text, cosponsors, and status updates from official Congress.gov database.
πŸ—³οΈ VoteView.com
Vote Predictions
Historical voting patterns from 1st-118th Congress used to train prediction models.
πŸ€– GPT-4 Analysis
Risk Assessment
AI-powered analysis of bill text, identifying red flags, good terms, and hidden provisions.
Last updated: Jan 18, 2026, 2:34 PM EST

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πŸ—³οΈ Voter View

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πŸ“ˆ Vote Prediction: H.R. 1235 - Federal Infrastructure Bank Act

πŸ›οΈ House of Representatives
227
165
43
D: 185 Yes
R: 42 Yes
Undecided: 43
πŸ›οΈ Senate
58
32
10
D: 48 Yes
R: 10 Yes
Undecided: 10
Overall Pass Probability
72%
↑ 5% from last week
Bipartisan Support
38%
42 R votes needed
Swing Votes
53
Key targets identified

🎯 District Impact Analysis

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πŸ’¬ Talking Points: H.R. 1235 - Federal Infrastructure Bank Act

βœ… Supporting Arguments
  • This bill creates over 12,000 good-paying jobs in our district while fixing roads that haven't been repaired in decades.
  • Rural communities will finally get the broadband access they need to compete in the 21st century economy.
  • Every dollar invested in infrastructure returns $1.80 to the local economy. This is common-sense economics.
  • We can't afford NOT to invest β€” deferred maintenance costs taxpayers more in the long run.
❌ Opposing Arguments
  • This $550 billion bill adds significantly to our national debt. Our children will pay for this spending spree.
  • The hidden EV user fee on page 423 is a backdoor tax on working families trying to go green.
  • States should manage their own infrastructure. Washington doesn't know what our district needs.
  • Only 23% of this bill goes to actual roads and bridges. The rest is bureaucratic bloat.

πŸ“œ Analysis History

Bill Title Risk Score Analyzed Actions
H.R. 1235 Federal
Federal Infrastructure Bank Act Medium 58 Sample data
S. 234 Federal
Prosecutors Need to Prosecute Act High 78 Sample data
H.R. 1 Federal
One Big Beautiful Bill Act High 82 Sample data
⚑ Recent Activity
LIVE
πŸ”¬
Analysis completed for H.R. 1235
2 minutes ago
🚨
New threat detected: S. 234 moved to floor vote
15 minutes ago
πŸ“Š
Vote prediction updated for H.R. 1: 52% β†’ 48%
1 hour ago
βœ…
S. 567 passed Senate 58-38
3 hours ago
πŸ”¬
Analysis completed for EO 14127
Yesterday
⚠️
Change added to H.R. 456 that raises the cost of following the rules
Yesterday
πŸ“
Talking points generated for H.R. 1235
2 days ago
Analysis Sources: πŸ“œ Bill Text
Source Document
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🧠 AI Model: GPT-4 Turbo
Analysis Engine
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πŸ“ˆ Confidence: 87%
Analysis Confidence
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πŸ‘₯ Team Management

JD
James Davidson
james@congress.gov
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SM
Sarah Mitchell
sarah@congress.gov
Analyst
MR
Michael Roberts
michael@congress.gov
Analyst