Should your startup opt for SAFEs or convertible notes on your next funding round? This Houston expert weighs in. Photo via Getty Images

As both a founder and occasional early-stage investor in the Houston ecosystem, I've seen firsthand the opportunities and challenges surrounding seed funding for local startups. This critical first fundraising round sets the trajectory, but navigating the landscape can be tricky, especially for first time founders who may not be familiar with the lingo.

One key dynamic is choosing the right deal structure — SAFEs (Simple Agreement for Future Equity) vs. convertible notes are the most common vehicles early stage startups use to raise capital and are far more founder-friendly than a priced round.

Let's start first with what the have in common:

  • Both allow you to defer setting a valuation for your company until a later (likely priced) round, which is useful in early stages or pre-revenue companies
  • Both are cheaper and faster to execute than a priced round, which cash-strapped early stage founders like
  • Both can have terms like valuation cap, discount, conversion event, and pro rata rights.
  • Both are less attractive to investors seeking immediate equity (especially important if starting the QSBS clock is part of your investors strategy or if the investor is newer to startup investing)
  • Both can create messy cap tables and the potential for a lot of dilution for the founders (and investors) if they are used for multiple raises (especially with different terms)

While as you can see they have similarities, they have some important differences. Let's dig in on these next:

SAFEs:

  • Created by Y Combinator in 2013, the intent was to create a simplified, founder friendly agreement as an alternative to the convertible note
  • Is an agreement for future equity for the investor at a conversion event (priced round or liquidation event) which converts automatically.
  • It's not a debt instrument and does not accrue interest or have a maturity date.
  • Generally have much lower upfront legal costs and faster to execute

Convertible Notes:

  • A debt agreement that converts to equity at a later date (or conversion event like a priced round)
  • Accrues interest (usually 2 to 8 percent) and has a maturity date by which the note must either be repaid or convert to equity. If you reach your maturity date before raising a qualifying round, you can often renegotiate to extend the maturity date or convert the note, though be prepared to agree to higher interest rates, additional warrants, or more favorable conversion terms.
  • More complex and take longer to finalize due to non-standard terms resulting in higher legal and administrative costs

It's worth reiterating that in both cases, raising multiple rounds can lead to headaches in the form of complex cap tables, lots of dilution, and higher legal expenses to determine conversion terms. If your rounds have different terms on discounts and valuation caps (likely) it can cause confusion around equity and cap table structure, and leave you (the founder) not sure how much equity you will have until the conversion occurs.

In my last startup, our legal counsel — one of the big dogs in this space for what it's worth — strongly advised us to only do one SAFE round to prevent this.

Why do some investors tend to prefer convertible notes?

There are a few reasons why some investors, particularly angel investors from developing startup ecosystems (like Houston), prefer convertible notes to SAFEs.

  • Because they are structured as debt, note holders have a higher priority than equity investors in recovering their investment if the company fails or is liquidated. This means they would get paid after other creditors (like loans or credit cards) but before equity investors, increasing the likelihood of getting some of their money back.
  • The interest terms protect investors if the founder takes a long time to raise a priced funding round. As time passes, interest accumulates, increasing the investor's potential return. This usually results in the investor receiving a larger equity stake when the note converts. However, if the investor chooses to call in the note instead, the accrued interest would increase the amount of money owed, similar to a traditional loan
  • More defined conversion triggers (including a maturity date) gives investors more control and transparency on when and how their investment will convert.
  • Can negotiate more favorable terms than the standard SAFE agreement, including having both a valuation cap and a discount (uncommon on a SAFE, which usually only has one or the other), interest rates, and amendment clauses to protect them from term revisions on earlier investors by future investors (called a cram-down), etc.
We'll go over what the various terms in these agreements are and what to look out for in a future article

How to choose:

  • Consider your startup's stage and valuation certainty — really uncertain or super early? Either of these instruments are preferable to a priced round as you can defer the valuation discussion
  • Assess investor preferences in your network — often the deciding factor if you don't have a lot of leverage; most local angels prefer c-notes because they see them as less risky though SAFEs are becoming more common with investors in tech hubs like Silicon Valley
  • Evaluate your timeline and budget for legal costs — as I mentioned, SAFEs are way less expensive to execute (though still be prepared to spend some cash).
  • Align the vehicle with your specific goals and growth trajectory

There's no one-size-fits-all solution, so it's crucial to weigh these factors carefully.

The meanings of these round terms like "seed" are flexible, and the average seed funding amount has increased significantly over the past decade, reaching $3.5 million as of January 2024. This trend underscores the importance of choosing the right funding vehicle and approach.

Looking ahead, I'm bullish on Houston's growing startup ecosystem flourishing further. Expect more capital formation from recycled wins, especially once recently minted unicorns like High Radius, Cart.com, Solugen, and Axiom Space exit and infuse the ecosystem with fresh and hungry angels, new platforms beyond traditional venture models, and evolving founder demographics bringing fresh perspectives.

------

Adrianne Stone is the principal product manager at Big Cartel and the founder of Bayou City Startups, a monthly happy hour organizer. This article original ran on LinkedIn.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Houston researchers develop material to boost AI speed and cut energy use

ai research

A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

Top Topics

Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

jobs report

For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”