NEWS
Give InKind’s smarter giving platform brings in surprise $1.5 million in pre-seed funding
Helping out a friend in need online can be surprisingly difficult. While giving cash is easy enough, that’s often not what people need most — so Give InKind aims to be the platform where you can do a lot more than write a check. The idea is such a natural one that the company tripled its goal for a pre-seed round, raising $1.5 million from Seattle investors.
The company was selected for inclusion in the Female Founders Alliance’s Ready Set Raise accelerator, at the demo day for which I saw founder Laura Malcolm present.
The problem Malcolm is attempting to solve is simply that in times of hardship, not only do people not want to deal with setting up a fundraising site, but money isn’t even what they require to get through that period. Malcolm experienced this herself, when she experienced a personal tragedy and found that what was out there to let others help was simply inadequate.
“My friends and family were trying to support me from around the country, but the tools they had to do that were outdated and didn’t solve the problems for us,” she explained. “There just wasn’t one place to put all the help that’s needed, whether that’s meal drop-off, or rides to school for the kids, or a wishlist for Instacart, or Lyft credits. Every situation is unique, and no one has put it all together in one place where, when someone says ‘how can I help?’ you can just point there.”
The idea with Give InKind is to provide a variety of options for helping someone out. Of course you can donate cash, but you can also buy specific items from wishlists, coordinate deliveries, set up recurring gifts (like diapers or gift boxes), or organize in-person help on a built-in calendar.
These all go on a central profile page that Malcolm noted is rarely set up by the beneficiary themselves.
“90 percent of pages are set up by someone else. Not everyone has been impacted by one of these situations, but I think almost everyone has known someone who has, and has wondered how they were supposed to respond or help,” she explained. “So this isn’t about capturing people during a time of need, but about solving the problem for people who want to know how to help.”
That certainly resonated with me, as I have always felt the cash donation option when someone is going through a tough time to be pretty impersonal and general. It’s nice to be able to help out in person, but what about a friend in another city who’s been taken out of action and needs someone else to figure out the dog walking situation? Give InKind is meant to surface specific needs like that and provide the links (to, for instance, Rover) and relevant information all in one place.
“The majority of actions on the site are people doing things themselves — signing up for meals, or to help. The calendar view is for coordination, and it’s the most used part of the site. About 70 percent is that, the rest is those national services [i.e. Instacart, Uber, etc.],” Malcolm said.
Locally run services (cleaners that aren’t on a national directory, for instance) are on the roadmap, but as you can imagine that takes a lot of footwork to put together, so it will have to wait.
Right now the site works almost entirely on an affiliate model; Helpers make accounts to do things like add themselves to the schedule or help edit the profile, then get sent out to the merchant site to complete the transaction there. The company is experimenting with on-site purchases for some things, but the idea isn’t to become host transactions except where that can really add value.
The plan for expansion is to double down on the existing organic growth patterns of the site. Every page that gets set up attracts multiple new users and visits, and those users are far more likely to start more pages even years down the line. Between improving that and some actual marketing work, Malcolm feels sure that they can grow quickly and could soon join other major giving services like GoFundMe in scale.
Ready, set, raise… a lot more than expected
Give InKind came to my attention through the Female Founder Alliance here in Seattle, which hosted a demo night a little while ago to highlight the companies and, naturally, their founders as well. Although some of the companies focused on female-forward issues, for instance the difficulty of acquiring workwear tailored to women’s bodies, the idea is more to find valuable companies that just happen to have female founders.
“Ready Set Raise was built to find high potential, dramatically undervalued investment opportunities, and translate them into something the VC community can understand,” said FFA founder Leslie Feinzaig. “Our last member survey results were consistent with findings that women founders raise less capital but make it go further. Give InKind is a perfect example. They bootstrapped for 3 years, found product market fit, grew 20% every month, and still struggled to resonate with investors.”
Yet after presenting, Malcolm’s company was honored at the event with a $100K investment from Trilogy Ventures. And having originally kicked off fundraising with a view to a $500K round, she soon found she had to cap it at an unexpected but very welcome $1.5M. The final list of participants in the round includes Madrona Venture Group, SeaChange Fund, Keeler Investments, FAM Fund, Grubstakes, and X Factor Ventures.
I suggested that this must have been something of a validating experience.
“It’s super validating,” she agreed. “The founder journey is long and hard, and the odds are not in favor of female founders or impact companies, necessarily, and consumer is not huge in Seattle, either. We really sort of defied the odds across the board raising this round so quickly… Seattle really showed up.”
She described the accelerator as being “incredibly unique. It’s entirely about creating access for female founders to investors, mentors, and experts.”
“We spent so much time turning my model upside down and shaking everything out of it. Turns out it was much more defensible than I thought. We didn’t change the business, and we didn’t change the product — we lightly changed the positioning,” she said. “This combination of access with coaching and mentorship, getting the ability to present the business in a way that’s compelling, you realize how much of this is held back from people who don’t have these opportunities. I’ve been carrying around Give InKind for three years in a paper bag, and they put a bell on it.”
Feinbaig cited the competitiveness of the application process and quality of their coaches, which give lots of 1 on 1 time, for the high quality of the companies emerging from the accelerator. You can check out the rest of the companies in the second cohort here — and of course Give InKind is live should you or anyone you know need a helping hand.
NEWS
OpenAI Introduces Fine-Tuning for GPT-4 and Enabling Customized AI Models
OpenAI has today announced the release of fine-tuning capabilities for its flagship GPT-4 large language model, marking a significant milestone in the AI landscape. This new functionality empowers developers to create tailored versions of GPT-4 to suit specialized use cases, enhancing the model’s utility across various industries.
Fine-tuning has long been a desired feature for developers who require more control over AI behavior, and with this update, OpenAI delivers on that demand. The ability to fine-tune GPT-4 allows businesses and developers to refine the model’s responses to better align with specific requirements, whether for customer service, content generation, technical support, or other unique applications.
Why Fine-Tuning Matters
GPT-4 is a very flexible model that can handle many different tasks. However, some businesses and developers need more specialized AI that matches their specific language, style, and needs. Fine-tuning helps with this by letting them adjust GPT-4 using custom data. For example, companies can train a fine-tuned model to keep a consistent brand tone or focus on industry-specific language.
Fine-tuning also offers improvements in areas like response accuracy and context comprehension. For use cases where nuanced understanding or specialized knowledge is crucial, this can be a game-changer. Models can be taught to better grasp intricate details, improving their effectiveness in sectors such as legal analysis, medical advice, or technical writing.
Key Features of GPT-4 Fine-Tuning
The fine-tuning process leverages OpenAI’s established tools, but now it is optimized for GPT-4’s advanced architecture. Notable features include:
- Enhanced Customization: Developers can precisely influence the model’s behavior and knowledge base.
- Consistency in Output: Fine-tuned models can be made to maintain consistent formatting, tone, or responses, essential for professional applications.
- Higher Efficiency: Compared to training models from scratch, fine-tuning GPT-4 allows organizations to deploy sophisticated AI with reduced time and computational cost.
Additionally, OpenAI has emphasized ease of use with this feature. The fine-tuning workflow is designed to be accessible even to teams with limited AI experience, reducing barriers to customization. For more advanced users, OpenAI provides granular control options to achieve highly specialized outputs.
Implications for the Future
The launch of fine-tuning capabilities for GPT-4 signals a broader shift toward more user-centric AI development. As businesses increasingly adopt AI, the demand for models that can cater to specific business needs, without compromising on performance, will continue to grow. OpenAI’s move positions GPT-4 as a flexible and adaptable tool that can be refined to deliver optimal value in any given scenario.
By offering fine-tuning, OpenAI not only enhances GPT-4’s appeal but also reinforces the model’s role as a leading AI solution across diverse sectors. From startups seeking to automate niche tasks to large enterprises looking to scale intelligent systems, GPT-4’s fine-tuning capability provides a powerful resource for driving innovation.
OpenAI announced that fine-tuning GPT-4o will cost $25 for every million tokens used during training. After the model is set up, it will cost $3.75 per million input tokens and $15 per million output tokens. To help developers get started, OpenAI is offering 1 million free training tokens per day for GPT-4o and 2 million free tokens per day for GPT-4o mini until September 23. This makes it easier for developers to try out the fine-tuning service.
As AI continues to evolve, OpenAI’s focus on customization and adaptability with GPT-4 represents a critical step in making advanced AI accessible, scalable, and more aligned with real-world applications. This new capability is expected to accelerate the adoption of AI across industries, creating a new wave of AI-driven solutions tailored to specific challenges and opportunities.
This Week in Search News: Simple and Easy-to-Read Update
Here’s what happened in the world of Google and search engines this week:
1. Google’s June 2024 Spam Update
Google finished rolling out its June 2024 spam update over a period of seven days. This update aims to reduce spammy content in search results.
2. Changes to Google Search Interface
Google has removed the continuous scroll feature for search results. Instead, it’s back to the old system of pages.
3. New Features and Tests
- Link Cards: Google is testing link cards at the top of AI-generated overviews.
- Health Overviews: There are more AI-generated health overviews showing up in search results.
- Local Panels: Google is testing AI overviews in local information panels.
4. Search Rankings and Quality
- Improving Rankings: Google said it can improve its search ranking system but will only do so on a large scale.
- Measuring Quality: Google’s Elizabeth Tucker shared how they measure search quality.
5. Advice for Content Creators
- Brand Names in Reviews: Google advises not to avoid mentioning brand names in review content.
- Fixing 404 Pages: Google explained when it’s important to fix 404 error pages.
6. New Search Features in Google Chrome
Google Chrome for mobile devices has added several new search features to enhance user experience.
7. New Tests and Features in Google Search
- Credit Card Widget: Google is testing a new widget for credit card information in search results.
- Sliding Search Results: When making a new search query, the results might slide to the right.
8. Bing’s New Feature
Bing is now using AI to write “People Also Ask” questions in search results.
9. Local Search Ranking Factors
Menu items and popular times might be factors that influence local search rankings on Google.
10. Google Ads Updates
- Query Matching and Brand Controls: Google Ads updated its query matching and brand controls, and advertisers are happy with these changes.
- Lead Credits: Google will automate lead credits for Local Service Ads. Google says this is a good change, but some advertisers are worried.
- tROAS Insights Box: Google Ads is testing a new insights box for tROAS (Target Return on Ad Spend) in Performance Max and Standard Shopping campaigns.
- WordPress Tag Code: There is a new conversion code for Google Ads on WordPress sites.
These updates highlight how Google and other search engines are continuously evolving to improve user experience and provide better advertising tools.
Facebook Faces Yet Another Outage: Platform Encounters Technical Issues Again
Uppdated: It seems that today’s issues with Facebook haven’t affected as many users as the last time. A smaller group of people appears to be impacted this time around, which is a relief compared to the larger incident before. Nevertheless, it’s still frustrating for those affected, and hopefully, the issues will be resolved soon by the Facebook team.
Facebook had another problem today (March 20, 2024). According to Downdetector, a website that shows when other websites are not working, many people had trouble using Facebook.
This isn’t the first time Facebook has had issues. Just a little while ago, there was another problem that stopped people from using the site. Today, when people tried to use Facebook, it didn’t work like it should. People couldn’t see their friends’ posts, and sometimes the website wouldn’t even load.
Downdetector, which watches out for problems on websites, showed that lots of people were having trouble with Facebook. People from all over the world said they couldn’t use the site, and they were not happy about it.
When websites like Facebook have problems, it affects a lot of people. It’s not just about not being able to see posts or chat with friends. It can also impact businesses that use Facebook to reach customers.
Since Facebook owns Messenger and Instagram, the problems with Facebook also meant that people had trouble using these apps. It made the situation even more frustrating for many users, who rely on these apps to stay connected with others.
During this recent problem, one thing is obvious: the internet is always changing, and even big websites like Facebook can have problems. While people wait for Facebook to fix the issue, it shows us how easily things online can go wrong. It’s a good reminder that we should have backup plans for staying connected online, just in case something like this happens again.
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