Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
10 pending office actions • 9 art units • 10 examiners • 0 of 10 (0%) have an AI response strategy ready • 43 patents granted in the last 365 days
Airbnb Inc. has 11 pending office actions in Transportation, E-Commerce & Mechanical Systems. The docket covers 11 distinct examiners and 10 art units, indicating broad examiner distribution and substantial art-unit reach. The number of examiners exceeds the number of art units, so at least one art unit is associated with more than one examiner assignment, without establishing that the same issue recurs across those matters.
SYED, FARHAN M is the busiest examiner, with 1 pending matter. No single examiner carries a larger share of the docket in the available data. Counsel should use portfolio-level coordination for technology and disclosure themes while maintaining matter-specific response plans across the different examiner assignments.
Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 2 (20%) |
| §101 + other | 6 (60%) |
| §103 only | 1 (10%) |
| §112 only | 1 (10%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| SYED, FARHAN M | 1 | 75.1% | +23.2% |
| DELICH, STEPHANIE ZAGARELLA | 1 | 38.7% | +35.6% |
| HAILU, TADESSE | 1 | 78.0% | +4.0% |
| KAZIMI, HANI M | 1 | 48.4% | +18.6% |
| MISIASZEK, MICHAEL | 1 | 55.7% | +15.3% |
| ZEROUAL, OMAR | 1 | 33.6% | +39.6% |
| PADUA, NICO LAUREN | 1 | 15.4% | +35.8% |
| AUSTIN, JAMIE H | 1 | 24.9% | +32.7% |
| NGUYEN, LOAN T | 1 | 64.2% | +23.2% |
| CLARE, MARK C | 1 | 14.1% | +19.9% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18631419 | INVITING CO-TRAVELERS TO VIEW A RESERVATION | ZEROUAL, OMAR | 60d overdue |
| 18185840 | Intelligent Prediction of An Expected Value of User Conversion | PADUA, NICO LAUREN | 46d overdue |
| 19174545 | HOST ACTION RANKING ENGINE FOR IMPROVED LISTINGS | DELICH, STEPHANIE ZAGARELLA | — |
| 18905551 | AUTOMATED IMAGE ORGANIZATION SYSTEM | HAILU, TADESSE | — |
| 18891385 | ORCHESTRATING MULTI-STEP TASKS INVOLVING LANGUAGE MODELS | KAZIMI, HANI M | — |
| 18653848 | Systems, Methods and User Interfaces for Organizing Wish Lists in Online Marketplaces | MISIASZEK, MICHAEL | — |
| 17983294 | SYSTEMS AND METHODS FOR OPTIMIZING SEARCH RESULTS | AUSTIN, JAMIE H | — |
| 17658798 | SYSTEMS AND METHODS FOR ANALYZING USER INTERACTION DATA USING MACHINE LEARNING TO ORGANIZE SEARCH RESULTS | CLARE, MARK C | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18631419 | INVITING CO-TRAVELERS TO VIEW A RESERVATION | ZEROUAL, OMAR | 60d overdue |
| 18185840 | Intelligent Prediction of An Expected Value of User Conversion | PADUA, NICO LAUREN | 46d overdue |
| 19175615 | SEARCHING ON PLATFORMS | SYED, FARHAN M | — |
| 19174545 | HOST ACTION RANKING ENGINE FOR IMPROVED LISTINGS | DELICH, STEPHANIE ZAGARELLA | — |
| 18891385 | ORCHESTRATING MULTI-STEP TASKS INVOLVING LANGUAGE MODELS | KAZIMI, HANI M | — |
| 18653848 | Systems, Methods and User Interfaces for Organizing Wish Lists in Online Marketplaces | MISIASZEK, MICHAEL | — |
| 17983294 | SYSTEMS AND METHODS FOR OPTIMIZING SEARCH RESULTS | AUSTIN, JAMIE H | — |
| 17728394 | FLEXIBLE VARIABLE LISTINGS SEARCH | NGUYEN, LOAN T | — |
| Art Unit | Apps |
|---|---|
| 3628 | 2 |
| 2161 | 1 |
| 3623 | 1 |
| 2174 | 1 |
| 3691 | 1 |
| 3688 | 1 |
| 3626 | 1 |
| 3625 | 1 |
| 2165 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19175615 | SEARCHING ON PLATFORMS | SYED, FARHAN M | 2161 | §103 | Non-Final OA | — | Pending | Apr 10, 2025 |
| 19174545 | HOST ACTION RANKING ENGINE FOR IMPROVED LISTINGS | DELICH, STEPHANIE ZAGARELLA | 3623 | §101§112 | Non-Final OA | — | Pending | Apr 09, 2025 |
| 18905551 | AUTOMATED IMAGE ORGANIZATION SYSTEM | HAILU, TADESSE | 2174 | §101§103 | Non-Final OA | — | Pending | Oct 03, 2024 |
| 18891385 | ORCHESTRATING MULTI-STEP TASKS INVOLVING LANGUAGE MODELS | KAZIMI, HANI M | 3691 | §101§102 | Non-Final OA | — | Pending | Sep 20, 2024 |
| 18653848 | Systems, Methods and User Interfaces for Organizing Wish Lists in Online Marketplaces | MISIASZEK, MICHAEL | 3688 | §101§103 | Final Rejection | — | Pending | May 02, 2024 |
| 18631419 | INVITING CO-TRAVELERS TO VIEW A RESERVATION | ZEROUAL, OMAR | 3628 | §101 | Final Rejection | 60d overdue | Pending | Apr 10, 2024 |
| 18185840 | Intelligent Prediction of An Expected Value of User Conversion | PADUA, NICO LAUREN | 3626 | §101§103 | Non-Final OA | 46d overdue | Pending | Mar 17, 2023 |
| 17983294 | SYSTEMS AND METHODS FOR OPTIMIZING SEARCH RESULTS | AUSTIN, JAMIE H | 3625 | §101 | Final Rejection | — | Pending | Nov 08, 2022 |
| 17728394 | FLEXIBLE VARIABLE LISTINGS SEARCH | NGUYEN, LOAN T | 2165 | §112 | Non-Final OA | — | Pending | Apr 25, 2022 |
| 17658798 | SYSTEMS AND METHODS FOR ANALYZING USER INTERACTION DATA USING MACHINE LEARNING TO ORGANIZE SEARCH RESULTS | CLARE, MARK C | 3628 | §101§112 | Final Rejection | — | Pending | Apr 11, 2022 |
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Start Free TrialAirbnb Inc. has 10 pending office actions as of October 2026, spread across 9 art units and 10 examiners.
Farhan M Syed has the most, with 1 of Airbnb Inc.'s pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
