Timothy Abbott
Angel Investor
San Francisco, United States
Timothy Abbott is a seed investor in San Francisco focused on Analytics and Artificial Intelligence. Timothy Abbott - Founder & CEO @ Zulip
- Total investments:
- 7
- Last investment:
- Lead investor:
- 0%
Last updated:
For AI agents: llms.txt
Industries Timothy Abbott invests in
Stages Timothy Abbott invests in
Countries Timothy Abbott invests in
Round sizes
Contacts
| Type | Contact | Validation |
|---|---|---|
| Work email | ||
| Personal email | ||
| Work phone | ||
| Personal phone | ||
| Socials |
Round size
- Seed
- $1.3M–$3.9M
Investment Focus
Industry
- Analytics 3 (43%)
- Artificial Intelligence 2 (29%)
- SaaS 1 (14%)
- Video 1 (14%)
- DevOps 1 (14%)
Stage
- Seed 5 (71%)
- Pre-Seed 1 (14%)
Country
- United States 5 (71%)
- United Kingdom 1 (14%)
Investments
| Company | Description | Round | Links |
|---|---|---|---|
| Honeycomb provides full-stack observability for modern engineering teams to understand, debug, and improve production systems. Honeycomb's customers rely on the product for fast incident response, system optimization, and delivering pain-free releases across the software engineering cycle that translates to happy devs and happy customers.Founded on the experience of debugging problems at the scale of millions of apps serving tens of millions of users, it helps every engineer to the instrument and queries the behavior of their system.The company was founded in 2016 and is based in San Francisco, California. | $2M / Seed / Apr 11, 2017 | ||
| Smarking is a group of MIT PhDs, stellar software engineers, and seasoned business professionals who set out on a journey to bring cutting edge solutions to the parking world. Frustrated that unlike many other industries, the $100 billion park industry (worldwide) still doesn’t have state of the art data analytics or yield management technologies,they are passionate about pushing the industry forward. In a short eighteen-month period, Smarking has attracted a tremendous amount of customers and grown their team into one with experts from both parking and tech. With great passion and continuous innovation, they are working on the frontier of the parking industry, shaping a bright future together with their customers. | $3M / Seed / May 13, 2015 | ||
| Crowdsourced interactive learning | $1.3M / Seed / Sep 12, 2014 | ||
| Apptimize lets mobile teams increase revenue and engagement by iterating faster and smarter. Our mission is to enable you to optimize, deploy, and manage the features and UX of your native iOS and Android apps in real-time through instant updates, A/B testing, feature flags, and analytics. We work with top apps like the Wall Street Journal,Western Union, Flipagram, HotelTonight, Nokia, and Trulia. | $2.1M / Seed / Jan 22, 2014 | ||
| Apptimize lets mobile teams increase revenue and engagement by iterating faster and smarter. Our mission is to enable you to optimize, deploy, and manage the features and UX of your native iOS and Android apps in real-time through instant updates, A/B testing, feature flags, and analytics. We work with top apps like the Wall Street Journal,Western Union, Flipagram, HotelTonight, Nokia, and Trulia. | $2.1M / Seed / Jan 01, 2014 | ||
| Increasing urbanisation is posing significant problems to many of the worlds cities, especially the very largest megacities whose infrastructure cannot cope with the demand for transport by millions of users daily. A Transit Exchange is a means to rationalise contended access to any “transportspace” (roadspace, waterway or airspace system) based onthe construct of a commodity futures exchange. Most simply it enables real-time, dynamic ridesharing on a very large scale in any type of vehicle which carries passengers or freight. Using mathematical optimisation techniques (based on heuristics and genetic algorithms) the Transit Exchange examines and aggregates origin-destination requests for transport from dispersed users in both space and time (who may or may not know one another) and applies operational concepts and knowhow garnered from successful prior deployments, Texxi provides a relevant trip package suggestions for ridesharing to those users and the vehicle operators in the locality. The Transit Exchange also generates income for municipal road operators from the very market making functions used to fill the empty seats in the fleet or vehicles operated in the “transportspace”. Now congestion pricing, road pricing and vehicle pricing charges can all be applied to users and a negative congestion charge implemented so as to not adversely affect the poorest in society. Predictive Analytics permit the transport users to choose when to travel and the transport service providers to place their assets in the most logical positions to best serve demand. If an investor was to deploy an amount of money into the Transit Exchange, then through the market making protocols in solving NP-hard problems related to Large Scale Dynamic Real-time Ridesharing a set of returns with varying yield-to-maturities can be replicated, providing an alternative to money-market funds and instantiated through the mechanism of a blockchain coin offering. Rather than relying on the rather nebulous promise of perpetual cryptographic security of a blockchain ledger, the provable work done has solved a pressing and current problem in the real world and done so in a manner that was transparent. High Liquidity investable security instruments (Transit Exchange Bill or TE-Bills) can thus be made available via the Transit Exchange. Its original purpose. To store value represented by demand for travel in a locality. Hence we will have a computational-crypto-currency backed by a commodity called “transport demand”. From 1968 - 2010, many academics in many of the top Universities in the world said that dynamic, real-time, ridesharing was not yet possible. Texxi proved it was possible in 2006 and in 2008, using the idea of a futures exchange, a dynamic social network map and genetic algorithms to solve an otherwise intractable solution. SAAS, Computational-CryptoCurrency, Artifical Intelligence, Predictive Analytics, Social Network, Mobile, MAAS, Demand Repsonsive Transport | $3.9M / Seed / Apr 09, 2005 | ||
| Clara is an AI-first primary care and longevity practice, it pairs continuous health monitoring via AI with real, licensed clinicians. | Pre-Seed |
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FAQ
What does Timothy Abbott invest in?
Timothy Abbott invests primarily in Analytics, Artificial Intelligence and SaaS startups, most often at Seed and Pre-Seed stage. Most of the 7 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What round sizes does Timothy Abbott invest in?
Timothy Abbott typically joins rounds of $1.3M–$3.9M at Seed. These are whole funding-round sizes, not Timothy Abbott's own check, which is rarely disclosed: the 10th–90th percentile of the confirmed public funding rounds Timothy Abbott took part in.
How do I contact Timothy Abbott?
Public channels for Timothy Abbott include LinkedIn. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
When did Timothy Abbott last invest?
The most recent investment recorded for Timothy Abbott closed in Apr 2017. Shizune tracks 7 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Oct 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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