Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
9 pending office actions • 7 art units • 9 examiners • 0 of 9 (0%) have an AI response strategy ready • 21 patents granted in the last 365 days
Pinterest Inc. has 8 pending office actions in Computing & Software. The actions involve 8 distinct examiners and 7 distinct art units, so examiner assignments are fully dispersed while one art unit handles more than one matter. This pattern supports separate examiner preparation with limited art-unit cross-checking.
VY, HUNG T is the busiest examiner, with 1 pending action. The available allocation does not show a concentrated examiner docket, making consistent response review and claim terminology control practical priorities.
Based on the USPTO statutory response window for each pending office action. 1 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 | 1 (11%) |
| §101 + other | 4 (44%) |
| §103 only | 3 (33%) |
| Multi-statute (no §101) | 1 (11%) |
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 |
|---|---|---|---|
| VY, HUNG T | 1 | 86.3% | +2.4% |
| CHOI, YUK TING | 1 | 71.5% | +36.4% |
| ORTIZ DITREN, BELIX M | 1 | 84.1% | +2.6% |
| HICKS, SHIRLEY D. | 1 | 60.3% | +51.2% |
| GARG, YOGESH C | 1 | 61.7% | +33.4% |
| KANG, TIMOTHY J | 1 | 45.5% | +27.0% |
| PRINCE, JESSICA MARIE | 1 | 77.3% | +15.6% |
| LEE, JENNIFER V | 1 | 24.9% | +39.1% |
| WANG, JIN CHENG | 1 | 59.6% | +10.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19048322 | DYNAMIC FILTER RECOMMENDATIONS | ORTIZ DITREN, BELIX M | 84d |
| 19336426 | DATA EXTRACTION APPROACH FOR RETAIL CRAWLING ENGINE | VY, HUNG T | — |
| 19075460 | SUGGESTING OBJECT IDENTIFIERS TO INCLUDE IN A COMMUNICATION | CHOI, YUK TING | — |
| 18828628 | PROBABILISTIC DETERMINATION OF COMPATIBLE CONTENT | GARG, YOGESH C | — |
| 18678748 | RECOMMENDING CONTENT ITEMS BASED ON A LONG-TERM OBJECTIVE | KANG, TIMOTHY J | — |
| 17860765 | OBJECT IDENTIFIERS FOR REAL WORLD OBJECTS | LEE, JENNIFER V | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19075460 | SUGGESTING OBJECT IDENTIFIERS TO INCLUDE IN A COMMUNICATION | CHOI, YUK TING | — |
| 18927713 | GENERATING CUSTOMIZED CONTENT USING A GENERATIVE MODEL | HICKS, SHIRLEY D. | — |
| 18828628 | PROBABILISTIC DETERMINATION OF COMPATIBLE CONTENT | GARG, YOGESH C | — |
| 18678748 | RECOMMENDING CONTENT ITEMS BASED ON A LONG-TERM OBJECTIVE | KANG, TIMOTHY J | — |
| 18592099 | END-TO-END TRAINED GENERATIVE SLATE RECOMMENDATION MODEL | PRINCE, JESSICA MARIE | — |
| 17860765 | OBJECT IDENTIFIERS FOR REAL WORLD OBJECTS | LEE, JENNIFER V | — |
| 17564004 | SKIN TONE DETERMINATION AND FILTERING | WANG, JIN CHENG | — |
| Art Unit | Apps |
|---|---|
| 2164 | 2 |
| 3688 | 2 |
| 2163 | 1 |
| 2168 | 1 |
| 3689 | 1 |
| 2486 | 1 |
| 2617 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19336426 | DATA EXTRACTION APPROACH FOR RETAIL CRAWLING ENGINE | VY, HUNG T | 2163 | §101§102§103Other | Non-Final OA | — | Pending | Sep 22, 2025 |
| 19075460 | SUGGESTING OBJECT IDENTIFIERS TO INCLUDE IN A COMMUNICATION | CHOI, YUK TING | 2164 | §102§103 | Final Rejection | — | Pending | Mar 10, 2025 |
| 19048322 | DYNAMIC FILTER RECOMMENDATIONS | ORTIZ DITREN, BELIX M | 2164 | §101§103 | Non-Final OA | 84d | Pending | Feb 07, 2025 |
| 18927713 | GENERATING CUSTOMIZED CONTENT USING A GENERATIVE MODEL | HICKS, SHIRLEY D. | 2168 | §103 | Non-Final OA | — | Pending | Oct 25, 2024 |
| 18828628 | PROBABILISTIC DETERMINATION OF COMPATIBLE CONTENT | GARG, YOGESH C | 3688 | §101 | Non-Final OA | — | Pending | Sep 09, 2024 |
| 18678748 | RECOMMENDING CONTENT ITEMS BASED ON A LONG-TERM OBJECTIVE | KANG, TIMOTHY J | 3689 | §101§102§103 | Final Rejection | — | Pending | May 30, 2024 |
| 18592099 | END-TO-END TRAINED GENERATIVE SLATE RECOMMENDATION MODEL | PRINCE, JESSICA MARIE | 2486 | §103 | Non-Final OA | — | Pending | Feb 29, 2024 |
| 17860765 | OBJECT IDENTIFIERS FOR REAL WORLD OBJECTS | LEE, JENNIFER V | 3688 | §101§102§103§112 | Final Rejection | — | Pending | Jul 08, 2022 |
| 17564004 | SKIN TONE DETERMINATION AND FILTERING | WANG, JIN CHENG | 2617 | §103 | Final Rejection | — | Pending | Dec 28, 2021 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialPinterest Inc. has 9 pending office actions as of October 2026, spread across 7 art units and 9 examiners.
Hung T Vy has the most, with 1 of Pinterest Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
