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PairTree speeds adoption process with an online, self-matching platform and $2.25M seed



Making the choice to adopt, or to find an adopting family, is a legally complex, emotionally taxing, expensive and time-consuming process. PairTree aims to make one part at least considerably easier and faster with its online matching platform where expectant mothers and hopeful adopters can find each other without the facilitation of an agency or other organization. The company has just raised a $2.25 million seed round, a rarity in the industry.

The path to adoption is different for everyone, but there are generally some things they have in common: Once the process is started, it can take upwards of $50,000 and over a year-and-a-half to organize a match. While some of this comprises the ordinary legal hurdles involved in any adoption, a big part of it is simply that there are limited opportunities for adoption, and compatibility isn’t guaranteed. As many people considering adoption are doing so on the heels of unsuccessful fertility treatment, it can be a lot to take on and a dispiriting wait.

Erin Quick, CEO and co-founder (with CTO Justin Friberg) of PairTree, said that the modern adoption landscape is marked by the fact that nearly 95 percent of adoptions are open, meaning there is ongoing contact between a biological mother and adopting family.

“They’ll be working together forever, and that makes finding a highly compatible match that much more important,” Quick, herself a happy adopter, told TechCrunch in an interview. But because of the way adoption is generally done — through agencies licensed by states — there are limitations on how far anyone involved can reach.

“It’s so bound by geography,” she said. “It’s regulated at the state level and has been facilitated by state level, not because of state laws — there’s no rule saying you can’t adopt out of state — but because the facilitators are small nonprofits. They bind themselves to their geographic region because that’s what they can serve. We’re building a platform that makes what people are already doing much easier and more efficient.”

That platform is in many ways very much like a dating app, though of course the comparison is not exact and does not reflect the gravity of choosing to adopt. But like in the dating world, in adoption you have a cloud of people looking to connect over something highly dependent on personality and individual needs.

Screenshot of the way expectant mothers can filter and search for compatible adopting families.

PairTree onboards both expectant mothers and adopters with personality tests — not the light-hearted stuff of OkCupid but a broader, more consequential set of Jungian archetypes that signal a person’s high-level priorities in life. Think “wants to travel and learn” versus “wants to provide and nurture” (not that these are necessarily incompatible) — they serve as important indicators of preferences that might not be so easily summarized with a series of checkboxes. That’s not the only criterion, of course. Other demographic and personal details are also collected.

The adopters are added to a pool through which expectant mothers can sift and, if desired, contact (in this, Quick suggested, PairTree mirrors Bumble, where women must message first). PairTree also does basic due diligence stuff like identify verification and confirmation of other important steps like home studies.

If a likely match is found, all the relevant information is passed to the adoption facilitator, who will be coordinating the other legal and financial steps. PairTree isn’t looking to replace these agencies — in fact Quick said that they have been huge proponents of the platform, since it can shorten wait times and improve outcomes. She said based on their existing successful adoptions that the wait can be cut by half or even two-thirds, and thus the cost (which involves recurring payments as the agency searches and does the legal work) by a similar amount.

“These are small nonprofits; they don’t have a lot of tech chops. When we launched we went to attorneys first, actually, and we were surprised when agencies started reaching out,” she explained.

Agencies have been referring their adopters to PairTree, which has led to a lot of early traction, Quick said. And importantly, they’ve seen great diversity in their early success.

“Adoption has historically been denied by faith-based systems — LGBTQ families and single women have been subject to discrimination,” she noted. And in fact just last week a Supreme Court decision held up the right of religious adoption agencies to deny services to same-sex couples. Quick was proud to say that they have already facilitated adoptions by same-sex couples and single parents.

The company will also set aside 5 percent of its net profits, which hopefully will manifest in volume, for the Lifetime Healing Foundation, which offers counseling and support to birth mothers who have gone though the adoption process.

The $2.25 million seed round was led by Urban Innovation Fund, with Founder Collective, Female Founders Alliance and Techstars participating. It will surprise few to hear that adoption is not a particularly hot industry for venture capital, but rising interest and investment in fertility tech may have shed light on opportunities in adjacent spaces. Adoption is one where significant improvements can be enabled by technology, meaning startups can grow fast while having a positive impact.

The company plans to use the money to expand its product portfolio, pursue more partnerships, and perhaps most importantly for its users, build a native mobile app, since 90 percent of the service’s viewership is mobile.

“We’re grateful to our expert and diverse group of investors who share our vision that adoption should be a viable path to parenting for more people,” said Quick in the release announcing the raise. “Like us, our investors believe in the importance of supporting Biological and Adopting Families along with the Adoptees, because adoption is not a single transaction but a journey they’re taking over the course of a lifetime.”



OpenAI Introduces ChatGPT Plus with Monthly Subscription of $20



Open AI - Chat GPT

OpenAI, the leading artificial intelligence research laboratory, has launched a new product – ChatGPT Plus. The new product is an advanced version of its previous language model, ChatGPT, and is available for a monthly subscription of $20. The company aims to provide a more sophisticated and efficient conversational AI tool to its users through this new product.

ChatGPT Plus is a state-of-the-art language model that uses advanced deep learning algorithms to generate human-like responses to text inputs. The model has been trained on a massive corpus of text data, allowing it to generate coherent and contextually relevant responses. The model is designed to handle a wide range of conversational topics and can be integrated into various applications, such as chatbots, customer support systems, and virtual assistants.

One of the main advantages of ChatGPT Plus over its predecessor, ChatGPT, is its ability to generate responses in a more human-like manner. The model has been fine-tuned to incorporate more advanced language processing techniques, which enable it to better understand the context and tone of a conversation. This makes it possible for the model to generate more nuanced and appropriate responses, which can greatly improve the user experience.

In addition to its advanced language processing capabilities, ChatGPT Plus also offers improved performance in terms of response generation speed and efficiency. The model has been optimized to run on faster hardware and has been fine-tuned to generate responses more quickly. This makes it possible for the model to handle a larger volume of requests, making it an ideal solution for businesses with high traffic websites or customer support centers.

The monthly subscription fee of $20 for ChatGPT Plus makes it an affordable solution for businesses of all sizes. The company has designed the pricing model in such a way that it is accessible to businesses of all sizes, regardless of their budget. This makes it possible for small businesses to take advantage of advanced conversational AI technology, which can greatly improve their customer engagement and support.

OpenAI has also made it easy to integrate ChatGPT Plus into various applications. The company has provided a comprehensive API that allows developers to easily integrate the model into their applications. The API supports a wide range of programming languages, making it possible for developers to use the technology regardless of their preferred programming language. This makes it possible for businesses to quickly and easily incorporate conversational AI into their operations.

In conclusion, OpenAI’s launch of ChatGPT Plus is a significant development in the field of conversational AI. The new product offers advanced language processing capabilities and improved performance, making it an ideal solution for businesses of all sizes. The affordable pricing model and easy integration make it accessible to businesses of all sizes, and the advanced language processing capabilities make it possible for businesses to improve their customer engagement and support. OpenAI’s ChatGPT Plus is set to revolutionize the conversational AI industry and bring advanced technology within the reach of businesses of all sizes.

Visit to read more and to get the latest news about ChatGPT.

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What can ChatGPT do?



ChatGPT Explained

ChatGPT is a large language model developed by OpenAI that is trained on a massive amount of text data. It is capable of generating human-like text and has been used in a variety of applications, such as chatbots, language translation, and text summarization.

One of the key features of ChatGPT is its ability to generate text that is similar to human writing. This is achieved through the use of a transformer architecture, which allows the model to understand the context and relationships between words in a sentence. The transformer architecture is a type of neural network that is designed to process sequential data, such as natural language.

Another important aspect of ChatGPT is its ability to generate text that is contextually relevant. This means that the model is able to understand the context of a conversation and generate responses that are appropriate to the conversation. This is accomplished by the use of a technique called “masked language modeling,” which allows the model to predict the next word in a sentence based on the context of the previous words.

One of the most popular applications of ChatGPT is in the creation of chatbots. Chatbots are computer programs that simulate human conversation and can be used in customer service, sales, and other applications. ChatGPT is particularly well-suited for this task because of its ability to generate human-like text and understand context.

Another application of ChatGPT is language translation. By training the model on a large amount of text data in multiple languages, it can be used to translate text from one language to another. The model is able to understand the meaning of the text and generate a translation that is grammatically correct and semantically equivalent.

In addition to chatbots and language translation, ChatGPT can also be used for text summarization. This is the process of taking a large amount of text and condensing it into a shorter, more concise version. ChatGPT is able to understand the main ideas of the text and generate a summary that captures the most important information.

Despite its many capabilities and applications, ChatGPT is not without its limitations. One of the main challenges with using language models like ChatGPT is the risk of generating text that is biased or offensive. This can occur when the model is trained on text data that contains biases or stereotypes. To address this, OpenAI has implemented a number of techniques to reduce bias in the training data and in the model itself.

In conclusion, ChatGPT is a powerful language model that is capable of generating human-like text and understanding context. It has a wide range of applications, including chatbots, language translation, and text summarization. While there are limitations to its use, ongoing research and development is aimed at improving the model’s performance and reducing the risk of bias.

** The above article has been written 100% by ChatGPT. This is an example of what can be done with AI. This was done to show the advanced text that can be written by an automated AI.

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Google December Product Reviews Update Affects More Than English Language Sites? via @sejournal, @martinibuster



Google’s Product Reviews update was announced to be rolling out to the English language. No mention was made as to if or when it would roll out to other languages. Mueller answered a question as to whether it is rolling out to other languages.

Google December 2021 Product Reviews Update

On December 1, 2021, Google announced on Twitter that a Product Review update would be rolling out that would focus on English language web pages.

The focus of the update was for improving the quality of reviews shown in Google search, specifically targeting review sites.

A Googler tweeted a description of the kinds of sites that would be targeted for demotion in the search rankings:

“Mainly relevant to sites that post articles reviewing products.

Think of sites like “best TVs under $200″.com.

Goal is to improve the quality and usefulness of reviews we show users.”


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Google also published a blog post with more guidance on the product review update that introduced two new best practices that Google’s algorithm would be looking for.

The first best practice was a requirement of evidence that a product was actually handled and reviewed.

The second best practice was to provide links to more than one place that a user could purchase the product.

The Twitter announcement stated that it was rolling out to English language websites. The blog post did not mention what languages it was rolling out to nor did the blog post specify that the product review update was limited to the English language.

Google’s Mueller Thinking About Product Reviews Update

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Product Review Update Targets More Languages?

The person asking the question was rightly under the impression that the product review update only affected English language search results.


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But he asserted that he was seeing search volatility in the German language that appears to be related to Google’s December 2021 Product Review Update.

This is his question:

“I was seeing some movements in German search as well.

So I was wondering if there could also be an effect on websites in other languages by this product reviews update… because we had lots of movement and volatility in the last weeks.

…My question is, is it possible that the product reviews update affects other sites as well?”

John Mueller answered:

“I don’t know… like other languages?

My assumption was this was global and and across all languages.

But I don’t know what we announced in the blog post specifically.

But usually we try to push the engineering team to make a decision on that so that we can document it properly in the blog post.

I don’t know if that happened with the product reviews update. I don’t recall the complete blog post.

But it’s… from my point of view it seems like something that we could be doing in multiple languages and wouldn’t be tied to English.

And even if it were English initially, it feels like something that is relevant across the board, and we should try to find ways to roll that out to other languages over time as well.

So I’m not particularly surprised that you see changes in Germany.

But I also don’t know what we actually announced with regards to the locations and languages that are involved.”

Does Product Reviews Update Affect More Languages?

While the tweeted announcement specified that the product reviews update was limited to the English language the official blog post did not mention any such limitations.

Google’s John Mueller offered his opinion that the product reviews update is something that Google could do in multiple languages.

One must wonder if the tweet was meant to communicate that the update was rolling out first in English and subsequently to other languages.

It’s unclear if the product reviews update was rolled out globally to more languages. Hopefully Google will clarify this soon.


Google Blog Post About Product Reviews Update

Product reviews update and your site

Google’s New Product Reviews Guidelines

Write high quality product reviews

John Mueller Discusses If Product Reviews Update Is Global

Watch Mueller answer the question at the 14:00 Minute Mark

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