RBC Capital Keeps Their Buy Rating on Jasper Therapeutics (JSPR)

RBC Capital Keeps Their Buy Rating on Jasper Therapeutics (JSPR)

In a report released yesterday, Gregory Renza from RBC Capital maintained a Buy rating on Jasper Therapeutics (JSPR – Research Report), with a price target of $68.00. The company’s shares closed yesterday at $18.85.

Renza covers the Healthcare sector, focusing on stocks such as Perspective Therapeutics, Pacira Pharmaceuticals, and Viridian Therapeutics. According to TipRanks, Renza has an average return of 13.8% and a 45.27% success rate on recommended stocks.

Jasper Therapeutics has an analyst consensus of Strong Buy, with a price target consensus of $72.71, which is a 285.73% upside from current levels. In a report released yesterday, BTIG also reiterated a Buy rating on the stock with a $90.00 price target.

JasperReports Server in - Reviews, Features, Pricing
JasperReports Server in – Reviews, Features, Pricing

The company has a one-year high of $31.01 and a one-year low of $4.00. Currently, Jasper Therapeutics has an average volume of 171.6K.

TipRanks tracks over 100,000 company insiders, identifying the select few who excel in timing their transactions. By upgrading to TipRanks Premium, you will gain access to this exclusive data and discover crucial insights to guide your investment decisions. Begin your TipRanks Premium journey today.

Jasper Therapeutics (JSPR) Company Description:

Amplitude Healthcare Acquisition Corp is a blank check company formed for the purpose of effecting a merger, share exchange, asset acquisition, share purchase, reorganization or similar business combination with one or more businesses.

Jaspersoft Business Intelligence Suite in - Reviews, Features
Jaspersoft Business Intelligence Suite in – Reviews, Features

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Buy Rating Reaffirmed for Jasper Therapeutics on Strong Clinical Performance and Market Potential

BTIG analyst Justin Zelin has reiterated their bullish stance on JSPR stock, giving a Buy rating yesterday.

Justin Zelin has given his Buy rating due to a combination of factors including Jasper Therapeutics’ strong performance in their clinical studies and the potential for their drug candidate, briq, to offer competitive efficacy and safety. Jasper’s enrollment for their BEACON study proceeded more rapidly than expected, enabling them to present comprehensive data sooner and add a new dosage cohort to their trial. This robust enrollment pace suggests a high level of interest and confidence in the treatment, which Zelin views as a positive indicator for the company’s prospects. The addition of the 180mg dose every eight weeks also presents an opportunity for Jasper to refine their dose selection for future registrational studies at a minimal cost.

Furthermore, the expected data from the SPOTLIGHT study in the fourth quarter could set Jasper’s briq apart on safety, especially in light of competing treatments like Celldex’s barzolvolimab, which has shown a risk of anaphylaxis. Zelin anticipates that the risk of such adverse events with briq could be lower due to its rational design and lower observed adverse event rates to date. Additionally, Jasper’s financial performance in the second quarter was better than consensus estimates, and its planned expansion into severe asthma presents further growth opportunities. With these factors in mind, Zelin reaffirms his Buy rating and $90 price target, looking ahead to meaningful catalysts that could significantly impact Jasper’s valuation.

In another report released yesterday, Capital One Financial also assigned a Buy rating to the stock with a $55.00 price target.

JSPR’s price has also changed slightly for the past six months – from $17.820 to $18.850, which is a 5.78% increase.

TipRanks tracks over 100,000 company insiders, identifying the select few who excel in timing their transactions. By upgrading to TipRanks Premium, you will gain access to this exclusive data and discover crucial insights to guide your investment decisions. Begin your TipRanks Premium journey today.

Jasper Therapeutics (JSPR) Company Description:

Amplitude Healthcare Acquisition Corp is a blank check company formed for the purpose of effecting a merger, share exchange, asset acquisition, share purchase, reorganization or similar business combination with one or more businesses.

Sam Altman warned OpenAI will ‘steamroll’ AI startups. I run one. Here’s why I’m not worried

Building an AI startup in 2024 is a lot of things. It is exciting, surreal, and rewarding. We are building to solve real user problems using a new, groundbreaking technology in the early innings of what is likely the next big wave in tech.

Awesome, right? Yes, but it can also be equal parts terrifying.

Spend any amount of time online in tech communities and you are sure to see headlines declaring that the most recent AI breakthrough spells the end for most AI startups. In a space where breakthroughs happen by the week, this can be tiresome.

It is not just tech journalists, opinionists, and fire-stokers making these declarations. It also comes directly from the people responsible for launching these breakthroughs. A few months back on the 20VC podcast, OpenAI CEO Sam Altman said his company will steamroll any startup or product trying to build in and around their blast radius.

The general idea is that too many AI startups today are built atop of the “foundational models” produced by the likes of OpenAI and Anthropic. As these major players produce new models with boundary-pushing capabilities, the less-known companies that benefit from these capabilities will become obsolete.

For example, if the newest OpenAI release lets you upload a PDF to ChatGPT to “chat with it,” what happens to all the companies that offer that as their core service? The prevailing wisdom today is that those hypothetical companies are going to be left for dead.

I run an AI startup called Consensus. It’s basically like Google Scholar + ChatGPT. Our goal is to make it easy to consume and search for peer-reviewed scientific research. To date, we have avoided the shrapnel of the AI behemoths. But with OpenAI announcing their upcoming foray into search, some would argue our days are numbered.

I am here today to tell you that the future for AI startups is bright. The doomsday headlines we see about startups are just like attention-grabbing headlines in any other industry—mostly for show.

Here are three reasons why AI startups are not doomed by every subsequent AI breakthrough:

Most companies start as a ‘thin wrapper’

Being labeled “a thin GPT wrapper” is the biggest insult you can thrust upon an AI startup in 2024. A thin wrapper refers to a product with very little real technology built themselves that is propped up by being built on top of someone else’s technology.

“Thin wrapper” companies do exist and some will certainly get steamrolled by future iterations of OpenAI’s models. Just ask the team at Jasper AI.

Jasper is an AI copywriting tool built using OpenAI models. In the pre-ChatGPT-hype world, their tool was lauded and they soared to a billion-dollar valuation. When the world became privy to ChatGPT, most users realized they could get the exact same functionality directly from the source—and Jasper’s revenue (and valuation) tumbled.

However, being a company that is built with third-party technology at the core is not inherently a bad thing. No founder should worry about being a “thin” wrapper at the start of their product journey. In fact, being a thin wrapper in your early days is sometimes an outright necessity for new products in order to get off the ground. It is simply your job as a startup to turn your “thin” wrapper into a “thick” one over time through design, user interface, new features, services, branding, etc.

This phenomenon is not new. If we applied the same scrutiny we do today to AI startups to previous iconic companies, we would have called them thin wrappers over various third-party technologies at their inception, too:

Salesforce is a thin interface wrapper over an Oracle database.

Box is just a thin wrapper over AWS.

Zoom is just a thin wrapper over Mac and PC cameras.

Delta is a thin wrapper over Boeing planes.

And so on.

A new capability directly from OpenAI is also a new capability for your hypothetical startup. It is simply your job as a startup to build enough schlep around that capability to make it compelling and useful enough for users to incrementally pay for. As that technology that you rely on improves, so does your product.

Most things start as a thin wrapper. It is not a sin. The only sin is staying a thin wrapper.

The difference between good and great is infinite

There is a proliferation of remarkable AI product demos online today. Despite this, there is a seemingly gigantic lag in the number of AI products that actually delight and solve problems when they are in the hands of their users.

This is because artificial intelligence in its current form is a connoisseur of “good enough.”

When something is “good enough,” and it is in a guard-railed demo setting, it can appear to be magic. Large language models (LLMs) have lowered the cost of marginal intelligence in products to near zero. Build a simple user interface, slap on a feature or two, and then add in a few API calls to OpenAI and you, quicker than ever before in human history, will have something that looks like an amazing product.

Unfortunately—or fortunately from the founder perspective—building great software products is still incredibly hard. Before LLMs, the crux of the work required to build an amazing software product was an amalgamous stew of hundreds of factors like deep customer understanding, elegant design that requires taste—not technical acumen—and thousands and thousands of lines of code that handle every possible edge case that a user may encounter when using your tool.

None of that has changed. Just because it is now easy to build something that looks like a great software product does not mean it is now easy to actually build a great software product.

Let’s look at the difference between Google’s much-maligned “AI overviews” and the fast-soaring AI search startup Perplexity.

By some definitions, Perplexity is not a “defensible” product. At the highest level, Perplexity is just LLMs interacting with search results. In a world with LLMs everywhere, couldn’t the greatest search engine of all time just throw an LLM summary over results and send Perplexity to its startup death? They can surely try, and try they did. So far, those efforts have been unsuccessful.

Software products don’t actualize at the highest level. They are a massive collection of details, and those details make the difference in how they solve the problems of their users.

Perplexity has nailed the details: Its user interface has character but is ruthlessly simple. When you arrive on its search page, your cursor immediately gets put in the search box. Its response time is near instantaneous and is even equipped with a delightful loading screen.

Google’s AI Overviews lack the same obsessive touch as Perplexity. In turn, they have not garnered the same user love. This is the difference between good and great—zoomed out, they may look the same, but zoomed in they are miles apart.

I could write an entire book on the observation of the deceptively-minimal-but-actually-gigantic difference between pretty good and truly great across life domains. It exists everywhere and software is no different. AI today is “good enough” commoditized. It does not come close to commoditizing truly great, and that should be reassuring for all of us aspiring to build great products.

Specialization matters

For as long as startups have existed, they have been advised to—and found success by—focusing their initial efforts on narrow problems. Niche problems rarely have markets large enough to maintain the attention of incumbents for them to completely solve. This creates the space for startups to come in, innovate, succeed, and then eventually expand.

This is part of our hypothesis at Consensus. Google Scholar is the most-used academic search tool in the world, yet it is pretty universally disliked. This is because it is a side quest of Google—it has never given the problem of scientific search the tender love and support it deserves. A startup like ours can provide that. It is quite literally all we care about doing. Google cares about a million other things.

The time-tested advice about niche problems is not suddenly defunct in the age of AI. It will continue to ring true when building products in the shadows of foundational model companies like OpenAI. If all that mattered was the raw technological horsepower of a product, then startups would never succeed against incumbents with deeper pockets and better technology. What actually matters is the details of your product—from the core feature set to the checkout process—that show a user you are there to solve their specialized problem.

As famed AI investor and former GitHub CEO (and current Consensus investor) Nat Friedman posted to X recently: “People hire a janitor service to clean their office. They don’t hire a generic labor service, even though it’s basically the same thing.” – advice for AI startups.

If you just measured raw capabilities, a person off the street and an employee of a cleaning service company are effectively identical. The only difference is some packaging, some cheap materials (cleaning supplies), a sprinkle of expertise, and a trust that this person has solved your exact problem before. That difference will drive 99 out of 100 people to opt to pay extra for a cleaning service company.

People want to use the thing that is designed for the thing. This is perhaps the most heartening sentence a founder of an AI company could possibly hear today.

When you take a step back and look at the three main points addressed above, this is not new advice. These are some of the same core tenants that have made startups successful when building in the long shadows of more technologically-advanced incumbents for decades.

Being terrified of big players driving your startup to obscurity is a feature of startups, not a bug. It is one of the things on the endless list of things that make building a successful startup really freaking hard.

We all now have an amazing new technology at our fingertips. The natural reaction is to believe that “everything is about to change.” The reality is that some things will change but most will resemble the past. I am willing to bet that one of those things that will persist is the space to create amazing companies and products alongside the headline-grabbing giants.

There will be startup roadkill created by the winners of the foundational model space. I contend that the blast radius will be smaller than most believe today.

Read more:

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.

Buy Rating Reaffirmed for Jasper Therapeutics on Strong Clinical Performance and Market Potential

BTIG analyst Justin Zelin has reiterated their bullish stance on JSPR stock, giving a Buy rating yesterday.

Justin Zelin has given his Buy rating due to a combination of factors including Jasper Therapeutics’ strong performance in their clinical studies and the potential for their drug candidate, briq, to offer competitive efficacy and safety. Jasper’s enrollment for their BEACON study proceeded more rapidly than expected, enabling them to present comprehensive data sooner and add a new dosage cohort to their trial. This robust enrollment pace suggests a high level of interest and confidence in the treatment, which Zelin views as a positive indicator for the company’s prospects. The addition of the 180mg dose every eight weeks also presents an opportunity for Jasper to refine their dose selection for future registrational studies at a minimal cost.

Furthermore, the expected data from the SPOTLIGHT study in the fourth quarter could set Jasper’s briq apart on safety, especially in light of competing treatments like Celldex’s barzolvolimab, which has shown a risk of anaphylaxis. Zelin anticipates that the risk of such adverse events with briq could be lower due to its rational design and lower observed adverse event rates to date. Additionally, Jasper’s financial performance in the second quarter was better than consensus estimates, and its planned expansion into severe asthma presents further growth opportunities. With these factors in mind, Zelin reaffirms his Buy rating and $90 price target, looking ahead to meaningful catalysts that could significantly impact Jasper’s valuation.

In another report released yesterday, Capital One Financial also assigned a Buy rating to the stock with a $55.00 price target.

JSPR’s price has also changed slightly for the past six months – from $17.820 to $18.850, which is a 5.78% increase.

TipRanks tracks over 100,000 company insiders, identifying the select few who excel in timing their transactions. By upgrading to TipRanks Premium, you will gain access to this exclusive data and discover crucial insights to guide your investment decisions. Begin your TipRanks Premium journey today.

Jasper Therapeutics (JSPR) Company Description:

Amplitude Healthcare Acquisition Corp is a blank check company formed for the purpose of effecting a merger, share exchange, asset acquisition, share purchase, reorganization or similar business combination with one or more businesses.

Sam Altman warned OpenAI will ‘steamroll’ AI startups. I run one. Here’s why I’m not worried

Building an AI startup in 2024 is a lot of things. It is exciting, surreal, and rewarding. We are building to solve real user problems using a new, groundbreaking technology in the early innings of what is likely the next big wave in tech.

Awesome, right? Yes, but it can also be equal parts terrifying.

Spend any amount of time online in tech communities and you are sure to see headlines declaring that the most recent AI breakthrough spells the end for most AI startups. In a space where breakthroughs happen by the week, this can be tiresome.

It is not just tech journalists, opinionists, and fire-stokers making these declarations. It also comes directly from the people responsible for launching these breakthroughs. A few months back on the 20VC podcast, OpenAI CEO Sam Altman said his company will steamroll any startup or product trying to build in and around their blast radius.

The general idea is that too many AI startups today are built atop of the “foundational models” produced by the likes of OpenAI and Anthropic. As these major players produce new models with boundary-pushing capabilities, the less-known companies that benefit from these capabilities will become obsolete.

For example, if the newest OpenAI release lets you upload a PDF to ChatGPT to “chat with it,” what happens to all the companies that offer that as their core service? The prevailing wisdom today is that those hypothetical companies are going to be left for dead.

I run an AI startup called Consensus. It’s basically like Google Scholar + ChatGPT. Our goal is to make it easy to consume and search for peer-reviewed scientific research. To date, we have avoided the shrapnel of the AI behemoths. But with OpenAI announcing their upcoming foray into search, some would argue our days are numbered.

I am here today to tell you that the future for AI startups is bright. The doomsday headlines we see about startups are just like attention-grabbing headlines in any other industry—mostly for show.

Here are three reasons why AI startups are not doomed by every subsequent AI breakthrough:

Most companies start as a ‘thin wrapper’

Being labeled “a thin GPT wrapper” is the biggest insult you can thrust upon an AI startup in 2024. A thin wrapper refers to a product with very little real technology built themselves that is propped up by being built on top of someone else’s technology.

“Thin wrapper” companies do exist and some will certainly get steamrolled by future iterations of OpenAI’s models. Just ask the team at Jasper AI.

Jasper is an AI copywriting tool built using OpenAI models. In the pre-ChatGPT-hype world, their tool was lauded and they soared to a billion-dollar valuation. When the world became privy to ChatGPT, most users realized they could get the exact same functionality directly from the source—and Jasper’s revenue (and valuation) tumbled.

However, being a company that is built with third-party technology at the core is not inherently a bad thing. No founder should worry about being a “thin” wrapper at the start of their product journey. In fact, being a thin wrapper in your early days is sometimes an outright necessity for new products in order to get off the ground. It is simply your job as a startup to turn your “thin” wrapper into a “thick” one over time through design, user interface, new features, services, branding, etc.

This phenomenon is not new. If we applied the same scrutiny we do today to AI startups to previous iconic companies, we would have called them thin wrappers over various third-party technologies at their inception, too:

Salesforce is a thin interface wrapper over an Oracle database.

Box is just a thin wrapper over AWS.

Zoom is just a thin wrapper over Mac and PC cameras.

Delta is a thin wrapper over Boeing planes.

And so on.

A new capability directly from OpenAI is also a new capability for your hypothetical startup. It is simply your job as a startup to build enough schlep around that capability to make it compelling and useful enough for users to incrementally pay for. As that technology that you rely on improves, so does your product.

Most things start as a thin wrapper. It is not a sin. The only sin is staying a thin wrapper.

The difference between good and great is infinite

There is a proliferation of remarkable AI product demos online today. Despite this, there is a seemingly gigantic lag in the number of AI products that actually delight and solve problems when they are in the hands of their users.

This is because artificial intelligence in its current form is a connoisseur of “good enough.”

When something is “good enough,” and it is in a guard-railed demo setting, it can appear to be magic. Large language models (LLMs) have lowered the cost of marginal intelligence in products to near zero. Build a simple user interface, slap on a feature or two, and then add in a few API calls to OpenAI and you, quicker than ever before in human history, will have something that looks like an amazing product.

Unfortunately—or fortunately from the founder perspective—building great software products is still incredibly hard. Before LLMs, the crux of the work required to build an amazing software product was an amalgamous stew of hundreds of factors like deep customer understanding, elegant design that requires taste—not technical acumen—and thousands and thousands of lines of code that handle every possible edge case that a user may encounter when using your tool.

None of that has changed. Just because it is now easy to build something that looks like a great software product does not mean it is now easy to actually build a great software product.

Let’s look at the difference between Google’s much-maligned “AI overviews” and the fast-soaring AI search startup Perplexity.

By some definitions, Perplexity is not a “defensible” product. At the highest level, Perplexity is just LLMs interacting with search results. In a world with LLMs everywhere, couldn’t the greatest search engine of all time just throw an LLM summary over results and send Perplexity to its startup death? They can surely try, and try they did. So far, those efforts have been unsuccessful.

Software products don’t actualize at the highest level. They are a massive collection of details, and those details make the difference in how they solve the problems of their users.

Perplexity has nailed the details: Its user interface has character but is ruthlessly simple. When you arrive on its search page, your cursor immediately gets put in the search box. Its response time is near instantaneous and is even equipped with a delightful loading screen.

Google’s AI Overviews lack the same obsessive touch as Perplexity. In turn, they have not garnered the same user love. This is the difference between good and great—zoomed out, they may look the same, but zoomed in they are miles apart.

I could write an entire book on the observation of the deceptively-minimal-but-actually-gigantic difference between pretty good and truly great across life domains. It exists everywhere and software is no different. AI today is “good enough” commoditized. It does not come close to commoditizing truly great, and that should be reassuring for all of us aspiring to build great products.

Specialization matters

For as long as startups have existed, they have been advised to—and found success by—focusing their initial efforts on narrow problems. Niche problems rarely have markets large enough to maintain the attention of incumbents for them to completely solve. This creates the space for startups to come in, innovate, succeed, and then eventually expand.

This is part of our hypothesis at Consensus. Google Scholar is the most-used academic search tool in the world, yet it is pretty universally disliked. This is because it is a side quest of Google—it has never given the problem of scientific search the tender love and support it deserves. A startup like ours can provide that. It is quite literally all we care about doing. Google cares about a million other things.

The time-tested advice about niche problems is not suddenly defunct in the age of AI. It will continue to ring true when building products in the shadows of foundational model companies like OpenAI. If all that mattered was the raw technological horsepower of a product, then startups would never succeed against incumbents with deeper pockets and better technology. What actually matters is the details of your product—from the core feature set to the checkout process—that show a user you are there to solve their specialized problem.

As famed AI investor and former GitHub CEO (and current Consensus investor) Nat Friedman posted to X recently: “People hire a janitor service to clean their office. They don’t hire a generic labor service, even though it’s basically the same thing.” – advice for AI startups.

If you just measured raw capabilities, a person off the street and an employee of a cleaning service company are effectively identical. The only difference is some packaging, some cheap materials (cleaning supplies), a sprinkle of expertise, and a trust that this person has solved your exact problem before. That difference will drive 99 out of 100 people to opt to pay extra for a cleaning service company.

People want to use the thing that is designed for the thing. This is perhaps the most heartening sentence a founder of an AI company could possibly hear today.

When you take a step back and look at the three main points addressed above, this is not new advice. These are some of the same core tenants that have made startups successful when building in the long shadows of more technologically-advanced incumbents for decades.

Being terrified of big players driving your startup to obscurity is a feature of startups, not a bug. It is one of the things on the endless list of things that make building a successful startup really freaking hard.

We all now have an amazing new technology at our fingertips. The natural reaction is to believe that “everything is about to change.” The reality is that some things will change but most will resemble the past. I am willing to bet that one of those things that will persist is the space to create amazing companies and products alongside the headline-grabbing giants.

There will be startup roadkill created by the winners of the foundational model space. I contend that the blast radius will be smaller than most believe today.

Read more:

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Jasper businesses are battling time and destruction: survey

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Of the more than 80 businesses surveyed, 37 per cent said that their businesses were either entirely or partially lost in the Jasper wildfire complex

Published Aug 08, 2024  •  Last updated 6 days ago  •  3 minute read

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The remains of restaurants and businesses in Jasper after wildfires hit on July 26, 2024. Photo by Amber Bracken /The Canadian PressArticle content

A recent report shows that Jasper businesses face an uphill battle once the rebuilding commences because many ran on slim margins in an economy that relies on visitors that won’t be back soon.

As Jasperites continue to await details on when they will be allowed to re-enter their community, Jasper businesses prepare themselves for a tough rebuild. A survey by the Tourism Industry Association of Alberta, Tourism Jasper, Alberta Hotel and Lodging Association and the Association for Mountain Parks Protection and Enjoyment released on Tuesday indicated that more than half of Jasper businesses couldn’t survive a closure of two months or more without taking on debt.

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As a tourism hub, Jasper’s economy, and the businesses that make it, are dependent on visitors which can be precarious at the best of times. The lack of access to the park isn’t just preventing visitors, though — it’s forcing workers to go elsewhere, too.

For Brett Ireland, co-owner of Jasper Brewing and Maligne Distilling and the chairman of the Tourism Industry Association of Alberta, the best case scenario is if they get 50 per cent to 75 per cent of employees back.

“It’s been the challenging task of trying to sort out what the next steps are for our business. And most of that circles around the team. Like how it’s impacting the team, and who we’re going to have in terms of a team to get re-opened,” said Ireland.

Summer months are crucial

Of the more than 80 businesses surveyed, 37 per cent said that their businesses were either entirely or partially lost in the Jasper wildfire complex. The damage to the businesses is already a tough economic loss, but businesses are also missing peak tourism season, which is when the survey said three-quarters of Jasper businesses make 60 per cent of their annual revenue.

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The summer months are crucial to both the workforce and the businesses in Jasper. With no access to the town, no timeline of return, and the fast fade of summer travellers, Jasper businesses are enduring a loss of staff and revenue, all while dealing with the uncertainty of their properties in town.

The survey also indicated that more than 60 per cent of businesses aren’t expecting to return to previous revenue levels for seven months or longer, while more than 50 per cent said they would need immediate in-destination staff accommodation before they could resume at all.

“Based on the survey results we just received, it’s pretty jarring and scary to think about how many of those small businesses might not make it through,” Ireland said.

Ireland said the building next to Jasper Brewing burned down and he is unsure of the extent it damaged his building. Nor was he sure what kind of state the kitchen could be in, which he said could be a bit of a “science experiment.”

Hope amid a bleak uncertainty

The survey said that as businesses wait to re-enter the town, many are eagerly awaiting key information from all levels of government on what “streamlined, timebound, development approvals process might look like along with insights on what short, medium and long-term employee wage and business support programs might be available until visitors return.”

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Ireland said a couple of things are giving him hope amid the bleak uncertainty that Jasper businesses might be feeling.

First, he expressed hope at the return of visitors — whenever it may be — who he said wrote to the business on social media.

“It sounds kind of cheesy to say but we have had an absolutely insane amount of positive messages through social media accounts. And, it’s people sharing huge life milestones, memories, that they’ve had in Jasper Brewing and all these huge comments of support,” said Ireland.

He’s also been heartened by the co-operation between various levels of government.

“I’m really optimistic that we might get that collaboration and that sort of positive approach those multi-layers of government have been taking through the actual crisis, and we can see that sustained through the recovery.”

zdelaney@postmedia.com

Twitter/X: @ZacharyDelaney

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Buy Rating Reaffirmed for Jasper Therapeutics on Strong Clinical Performance and Market Potential

BTIG analyst Justin Zelin has reiterated their bullish stance on JSPR stock, giving a Buy rating yesterday.

Justin Zelin has given his Buy rating due to a combination of factors including Jasper Therapeutics’ strong performance in their clinical studies and the potential for their drug candidate, briq, to offer competitive efficacy and safety. Jasper’s enrollment for their BEACON study proceeded more rapidly than expected, enabling them to present comprehensive data sooner and add a new dosage cohort to their trial. This robust enrollment pace suggests a high level of interest and confidence in the treatment, which Zelin views as a positive indicator for the company’s prospects. The addition of the 180mg dose every eight weeks also presents an opportunity for Jasper to refine their dose selection for future registrational studies at a minimal cost.

Furthermore, the expected data from the SPOTLIGHT study in the fourth quarter could set Jasper’s briq apart on safety, especially in light of competing treatments like Celldex’s barzolvolimab, which has shown a risk of anaphylaxis. Zelin anticipates that the risk of such adverse events with briq could be lower due to its rational design and lower observed adverse event rates to date. Additionally, Jasper’s financial performance in the second quarter was better than consensus estimates, and its planned expansion into severe asthma presents further growth opportunities. With these factors in mind, Zelin reaffirms his Buy rating and $90 price target, looking ahead to meaningful catalysts that could significantly impact Jasper’s valuation.

In another report released yesterday, Capital One Financial also assigned a Buy rating to the stock with a $55.00 price target.

JSPR’s price has also changed slightly for the past six months – from $17.820 to $18.850, which is a 5.78% increase.

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Jasper Therapeutics (JSPR) Company Description:

Amplitude Healthcare Acquisition Corp is a blank check company formed for the purpose of effecting a merger, share exchange, asset acquisition, share purchase, reorganization or similar business combination with one or more businesses.

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