Spotlight Feature: Dashboard API

Making predictions about startups is good, but letting everyone integrate predictions about startups in their apps is even better. And that’s because the real value of predictions is realized when we go beyond “predictive analytics” and start becoming “prescriptive”. In other words, it’s all about making predictive insights actionable. This is the reason why we are releasing our Dashboard API, to let you do just that. Now, all of our predictive scores about startups, investors, and areas, can be embedded into any of your apps and integrated into any of your decision-making processes. For example, you can now combine constant tracking of the performance and traction of your portfolio companies as well as those of your competitors in your own internal app, which also includes top secret financials for your portfolio companies. Currently, our Dashboard API is only accessible to subscribers of the Analyst Plan and our partners (Interested in a partnership? Get in touch with us!).

All of PreSeries, one API

Preseries.io (our API domain) gives you access to the following predictions: company search and company data, as well as the following resources: acquisition, deactivation, company, investor, IPO, patent, person, product, and round. Preseries.io conforms to the design principles of Representational State Transfer (REST). Preseries.io is entirely HTTPS-based. You can create, read, update, and delete resources using the respective standard HTTP methods: POST, GET, PUT and DELETE. All communication with Preseries.io is JSON formatted.

Predictions

Company related properties available via the PreSeries API.

The Company Search allows you to find companies in PreSeries based on preferences. The Company Data endpoint allows you to find information about all the company predictions made by PreSeries. The endpoint is available in two different modes: (1) one snapshot: data related to a specific snapshot. You need to choose between only_last_snapshot or snapshot_date as a query property. (2) time series: all company data points listed in chronological order. This is the default option if neither snapshot_date nor only_last_snapshot is informed. You can specify a time period using the interval property.

A sample of the 38 Company creation related properties available through the PreSeries API.

Resources

A sample of the 39 Company related properties available through the PreSeries API.

Preseries.io also allows you to list, create, retrieve, update, delete your data about company activations, deactivations, general information, investors, IPOs, patents, people, products, rounds of investments.

A sample of the 41 Patent related properties available through the PreSeries API.

A complete list of all the predictions and resources available through the Dashboard API can be found here: preseries.com/developers. We’d like to know more about your application ideas so feel free to get in touch with us to request API access!

July Release: Portfolio Sharing and Dashboard API

Summer is upon us, but we won’t let the July heat slow us down! We just released our new collaboration feature, aka portfolio sharing, and our fresh off-the-shelves Dashboard API is now available to anyone interested in integrating PreSeries predictions about startups, investors and industry areas in their solutions.

Portfolio Sharing

In the Wisdom of Crowds, James Surowiecki argues that the aggregation of information in groups often results in better decisions than relying on a single person’s opinion. Early-stage investing doesn’t escape this rule, the amount of uncertainty is better mitigated when various analysts and investors come together and weigh on investing decisions. For this reason, we released the first of many collaboration features, portfolio sharing. Our portfolio sharing feature is the perfect way to share your lists of startups with your team members. Whether you are replicating real investors’ portfolios or trying to simulate virtual ones, you can now give access to your findings directly to your team on the PreSeries platform.

Once you spot a startup you want to include in one of your virtual portfolios, simply click on the folder icon below the company name and select the desired portfolio, or create a new one. The portfolio view from the left menu will automatically update itself (if you cannot see the list of startups, simply click on the expand icon). If you want to remove one company from a portfolio, hover your mouse over one of them in the list and click on the “-” icon.

For a more in-depth look at a portfolio, click on its name directly from the left menu. The portfolio view offers quick insights on the current company status, the country, the city, the current stage, the industry areas, the overall score, as well as the overall score’s evolution over time. Next to the portfolio name on the left menu is an option activate/deactivate the sharing of your portfolio to your team in one click (“green icon = shared” in the screenshot above). The section below called “shared” lists all the portfolios shared with you by other team members.

In the comparison tab, we show the evolution of a given virtual portfolio over time. Colored dots represent companies’ overall scores from 0 to 100 (red = 0 to 20, yellow = 20 to 50, blue 50 to 70, and green 70 to 100). The graph is useful to assess how diversified a portfolio really is by looking at how many of its portfolio startups are projected to achieve a successful exit (IPO or Acquisition).

Dashboard API

The other big announcement is our Dashboard API. It gives you access to all the available insights from the Dashboard, including predictions, present and past.

It is currently only available to owners of the Analyst plan and our partners. Get in touch with us to know more! Analyst subscribers and partners will find the related documentation under the “Documentation” tab (top menu).

We hope these features will turn you into more productive AI-driven workaholics (our niche). Don’t hesitate to drop us an email anytime at info@preseries.com, we’d love to hear your feedback and ideas 😉

 

 

Get your own VC-in-a-Box! (Voice Assistant)

If I ask you to name an important stakeholder that is often an overlooked key component of business operations, I’m sure “assistants” are not the first thing popping up in your mind. But if you look closely, regardless of their title, it’s hard to overstate their contribution to any company’s productivity by helping management staying focused on most important tasks.

As technology has advanced, the skill sets of assistants have continued to evolve to keep apace. The arrival of chatbots and better speech recognition is already drastically changing the landscape by allowing for the automation of many data intensive tasks. It is now possible for many to become their own globally-connected assistant, at a fraction of the cost of hiring a human assistant for such tasks that are better suited for software.

The latest advances in the field of Artificial Intelligence and voice recognition technology is slowly redefining our relationship to our electronic devices. Human-computer interactions are becoming more human-like and the promise of naturally conversing with your devices is just around the corner. The first wave of Voice Assistants lead by the Amazon Echo and its Alexa software appeared late 2014 and their adoption rate has shown no signs of slowing down. After conquering our homes, the battlefield has now moved to businesses as they aim to supercharge the productivity of workplace teams. Acting as task-oriented assistants, are fast becoming tomorrow’s colleagues-in-a-box.

With PreSeries we make it easy for anyone to predict the future of startups. But when fully concentrated in your work, opening the PreSeries Dashboard to get some insights can disrupt your workflow. Simply asking your question out loud, as you would with a colleague or an assistant, feels more natural and allows you to remain focused. Therefore, we built our own PreSeries for Alexa skill in order to bring startup intelligence to devices belonging to the Amazon Echo family. Main features are the scoring of startups in real-time and getting aggregate or detailed information about startups, technology areas, investors, patents, rounds of financing, and IPOs.

Once the skill is enabled, you can use your brand new VC-in-a-Box to discover all kinds of information regarding startups. Below is an example session.

You: “Alexa, ask PreSeries how many startups were founded in the US in 2016”

PreSeries: “The number of startups founded in the US in 2016 is 3857.”

You: “Alexa, ask PreSeries what is the highest scoring startup in the US in Education”

PreSeries: “The highest scoring startup in the category of education is AcmEd”

Check out our introduction video below!

Click here to add the skill to your Alexa powered device and don’t forget to check out our documentation for a complete overview of the questions you can ask your VC-in-a-box.

Spotlight Feature: Investor Rankings

Whether it’s keeping tabs on peer’s syndicates, strategies, portfolios, or raising fresh funds from investors; both investors and entrepreneurs need a simple yet powerful way to filter data about investing entities. If you’re an investor think of our Top Investors section as your go-to-feature to quantitatively compare yourself to the competition and quickly establish meaningful benchmarks.

If you’re an entrepreneur lucky enough to see some traction, you might be considering raising funds to support your growth. From seed to late stage, the time you need to allocate to look for funds will never stop to increase. The life of a startup is very demanding and time spent researching investors means less time spent on your product. We believe you should spend time talking to investors instead of searching for them in an ad-hoc manner, so we built the PreSeries Top Investor section with that in mind. It basically allows you to filter investors using your own criteria to help you focus on the ones most likely to invest in your startup.

PreSeries currently lists over 40k+ investors ranging from seed-focused VCs to corporate investors leaning towards late stage deals. In order to easily search among all the profiles in our database, we invite you to use the filter options available at the top. You can filter investors by name, by location (country and city), by development stage (concept, seed, product development, market development, and steady), by industry area (700+ to choose from), and investment period.

The default view of the Top Investors section offers quick insights on the investing entities ranked by total amount invested (just click on a column to change the ranking criteria). For every investor, you are able to see what some of the drivers behind their investment decisions are. We show the preferred country and city of investment along with the number of deals for each. You also have access to information about the preferred investment stage (i.e, concept, seed, product development, market development, or steady), and the main investment area including the corresponding number of deals. On the right hand side are the total number of companies, deals and amount invested by each entity. The last column shows the overall PreSeries score of each investor (from 0 to 100). This score represents the general performance of the investor, meaning if the Return On Investment over their entire portfolio was significant enough.

By choosing the histogram view, you can easily see the distribution of investments with the green bar representing the preferred country, city, stage, and area. Hovering your cursor over bars on the bar charts will give you additional information, as seen on the image above. To facilitate comparison among the investors listed on the page you can switch between relative or absolute values, and use the same or a different scale.

That’s it for Investor Search & Rankings. Make sure to check our other Spotlight Feature blogposts for a complete lowdown!

Spotlight Feature: Company Trends

When on the lookout for new investment opportunities, being able to identify trends is the first step on the road to uncover the next most promising industries and startups. With a growing number of early-stage companies keeping traditional markets saturated, we see competition intensifying and under-the-radar industry areas getting more attention than ever. Keeping tabs on numbers of investments, amounts invested, numbers of exits, and other relevant metrics from the startup world, is the foundation for a successful data-driven investment practice that knows when to deviate from the beaten path. The PreSeries Company Trends section is the perfect feature to future proof your investment strategy by understanding where to direct your attention to stay ahead of the pack.

Of course, not every trend matters to everyone. As a professional investor, you most likely follow an investment thesis, a strategy that helps you determine which companies to invest in. In PreSeries, the Company Trends feature aims to help you find trends that match your investment philosophy. As seen above, you can find trends for companies matching your desired criteria such as: status (Running, Acquired, Acqui-hired, IPO, Zombie, and Closed), location (Country and City), industry area (more than 700 to choose from), and date of foundation.

After applying the filters, you can choose to generate visualizations from 11 different trends charts. The Founded Companies chart represents the evolution of the number of companies founded over time. The Closed Companies chart does the same but for closed companies. The IPO and Acquired Companies charts depict the number of companies with successful exits over time.

You can also generate charts for relative values such as Time to IPO, Time to be AcquiredTime to Close and Time to be Funded. These charts are good indicators on how quickly companies reach any of these states. The sample chart above answers the question “How much time usually elapses between the founding of the companies and the IPO of the companies?”. Last but not least, for any given graph, you can download the visualization as a PNG file and the results in CSV format.

That’s it for Company Trends. Make sure to check our related post on the Spotlight Feature!

Spotlight Feature: Company Search and Rankings

Whether you are an investor on the lookout for the next promising startup, an incubator program searching for the best way to filter your never-ending stream of applications, or simply an entrepreneur gathering intel on your competitors, you need lots of data, a way to filter the noise, and uncover hidden signals. Today, most of the decision-making traditionally resulting from gut-feel and simple business rules are being slowly replaced by data-driven approaches that go beyond our limited analytical skills as humans. We are in the middle of such a revolution and today’s large trove of data coupled with cutting-edge machine learning techniques makes this possible.

But with large amounts of data, comes great anxiety. It’s one thing to have a large dataset, it’s even better when you can make sense of it and quickly derive meaningful insights. If that is what you are looking for, then PreSeries is the right fit for you. We use machine learning algorithms to analyze over 300k+ companies and generate predictive scores that represent their chances of success. The best way to search and filter these companies is through the Company Search & Rankings feature accessible from the Dashboard.

Above, is an example of the combination of filters you can apply to search for specific companies. You can specify company status, location (country and city), development stage (concept, seed, product development, market development or steady), and industry areas (e.g. “Mobile” and “Personal Health”).

Once the filters are applied, the result page ranks the companies matching the chosen criteria. By default, all companies are ranked by their overall score in the Top Companies tab (as seen above). The result page includes the following information: company name, current status, location (country and city), current stage, industry areas, overall score and recent changes in overall score. Clicking on the company name will automatically redirect you to the corresponding Company Profile page. You can find more about company profiles here. Clicking on a Country, a City or a specific Area will display all companies matching the selected criteria. The “star” and “pin” icons under the company names are quick and easy ways to add companies to your Starred Companies and Bookmarks respectively.

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The Mover and Shakers tab is similar to the Top Companies tab, but instead of ranking the companies using their overall scores (i.e., absolute values), it ranks them by the recent increase in their overall scores (i.e, relative values). Companies listed in this tab are worth paying attention to, a sharp increase in score is often the reflection of improved performances and maybe even a hidden unicorn?

Go to PreSeries now and request your free trial!

That’s it for the Company Search and Rankings! As always, we’d love to hear about your thoughts and feedback.

Spotlight Feature: Company Profiles

The PreSeries interface is built with the power-user in mind, which is why we opted for a dashboard-type design that makes it easier than ever to quickly access vital insights about startups, investors and industry areas without sacrificing quality for convenience. In fact, all of PreSeries’ features follow this balanced principle.

In this post, the focus will be on one of our central features: Company Profiles. Company Profiles include all important information that PreSeries gathered on startups from around the globe as well as unique predictions based on our own estimation of their likelihood of success. In other words, on top of the traditional descriptive information such as funding data and online metrics, every company profile comes with its own predictive scores that represent our data-driven assessment of  its future performance.

Let’s take a section-by-section look at a sample company profile, and see what kind of information and predictions can be found. Today, our test subject will be the Google backed augmented reality startup, Magic Leap.

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First things first, the top section is dedicated to general information about the company (picture above). Next to its name is the company current status: running, acquired, IPO, zombie or closed. Each company comes with a short description of its activity, date of foundation and main areas of activity with the top area being shown in blue. Additional information such as the last time company data was updated, links to company’s official website, its social media and Crunchbase profiles are also available.

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On the top right corner we have the company’s predictive scores. They are computed by PreSeries Machine Learning algorithms. If you hover your cursor over them, a popup box appears with an explanation of the score’s meaning.

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In the second section (picture above), we feature our own predictions regarding the most likely future status of the startup. We compute probabilities for the following possible outcomes: IPO, get acquired, get “acqui-hired”, keep running as a going concern, become a “zombie “, and go defunct. We also compute the estimated time frame in which an exit is most likely to occur. In the graph below, PreSeries distinguishes between five different stages in a startup’s life: Concept, Seed, Product Development, Market Development and Steady. Depending on the company’s currently available information, PreSeries also makes a prediction on its current stage.

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Next, is the section about funding. It features a chart representing the history of the company’s fundraising activity including total and detailed amounts by round, most recent series of funding, financing types applicable and of course the corresponding dates.

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The metrics section (seen above) allows you to visualize the historical trend of every metric gathered as well as the predictive scores computed by PreSeries. This way, you can easily assess the evolution of a company’s metrics independently to get a better understanding of its context over time.

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The last section in every Company Profile page features how the selected startup compares against other companies in terms of its financing structure in the Similar Companies section (the 10 companies on the left), and in terms of product/service offerings in the Competitors section (the 10 companies on the right). The scores represent the degree of similarity between the companies and the selected startup.

Go to PreSeries and request access now!

That’s it for the Company Profile page! As always, we’d love to hear about your thoughts and feedback.