OEOpen Endeavour — open_endeavour.exe
An AI adventure, in the openest. 1 person + 1 GPU
What canyou buildwith AI?*
More than you think. One curious person, armed with open-source AI, can ship real things— an embedding model is next. Every step, in the open.
↖ yes, both buttons work. promise.
* results may vary. that’s the fun part.
open_endeavour.exe×
Begin Open Endeavour?
train_embeddings.log×
epoch 03/12 —— loss 0.0412 ▾
vibes: immaculate
This could be you✦train it(>'-')>Ship it✦no, really, you can✦Open-source it¯\_(ツ)_/¯This could be you✦train it(>'-')>Ship it✦no, really, you can✦Open-source it¯\_(ツ)_/¯
Embeddings✦Agents✦RAG✦Fine-tunes✦Open weights✦One GPU✦Embeddings✦Agents✦RAG✦Fine-tunes✦Open weights✦One GPU✦
The endeavours
Things you can do with AI.
Not demos. Not threads. Real, working things— built in the open, one endeavour at a time.
-0.5903 -0.2577 cos=0.13 w[5][624] 0.9622 ∇loss=0.0660 [████░░] 53% w[5][753] [████░░] 92% 0.2448 ∇loss=0.0949 w[5][350] -0.5370 lr=3e-3 0.8520 [████░░] 92% 0.1203 tok_1802 [████░░] 93% w[6][274] -0.0461 lr=3e-4 [████░░] 9% w[2][576] ∇loss=0.0149 -0.9520 w[5][44] [████░░] 1% 0.7772 ∇loss=0.0820 lr=3e-4 -0.3939 -0.0431 -0.9277 ∇loss=0.0874 0.8305 tok_22446 -0.1822 0.8595 ∇loss=0.0155 0.2902 w[5][147] 0.4777 lr=3e-3 -0.6265 [████░░] 25% lr=3e-4 w[1][430] w[2][360] tok_13376 -0.3694 w[10][79] w[3][107] -0.3407 0.3990 -0.3386 [████░░] 87% w[8][315] w[8][147] ∇loss=0.0810 0.5560 -0.4024 ∇loss=0.0244 0.0288 -0.7489 -0.9439 ∇loss=0.0194 cos=0.90 w[6][592] cos=0.21 0.8843 w[0][7] cos=0.57 -0.0058 cos=0.05 ∇loss=0.0388 -0.6055 lr=3e-5 0.2378 -0.5672 [████░░] 61% cos=0.51 lr=3e-4 w[6][699] -0.5040 -0.5354 0.7762 -0.7446 w[2][223] -0.5750 ∇loss=0.0360 lr=3e-4 ∇loss=0.0012 ∇loss=0.0437 lr=3e-4 tok_18408 tok_5441 0.8201 -0.1642 -0.6806 cos=0.31 lr=3e-4 [████░░] 0% ∇loss=0.0329 [████░░] 77% cos=0.05 0.5817 w[7][118] [████░░] 72% w[6][248] [████░░] 91% ∇loss=0.0272 lr=3e-5 -0.3727 0.7788 [████░░] 45% tok_44725 -0.9980 w[3][611] w[10][638] [████░░] 45% w[7][136] 0.8517 cos=0.12 lr=3e-3 [████░░] 17% lr=3e-5 ∇loss=0.0063 -0.5298 tok_39635 0.9484 ∇loss=0.0927 -0.2847 cos=0.44 ∇loss=0.0557 ∇loss=0.0820 w[11][370] 0.5954 w[11][26] -0.6499 [████░░] 80% 0.3808 lr=3e-3 w[9][298] [████░░] 14% -0.7077 ∇loss=0.0098 0.8149 ∇loss=0.0200 w[1][523] w[11][423] lr=3e-3 ∇loss=0.0375 0.5427 -0.9786 lr=3e-3 0.9526 w[3][98] -0.8541 cos=0.51 [████░░] 74% lr=3e-5 0.1641 w[10][511] 0.8176 -0.3630 ∇loss=0.0061 ∇loss=0.0348 -0.6829 tok_35582 lr=3e-3 0.7755 0.8038 0.9621 0.0824 -0.1577 w[2][577] -0.3894 -0.8092 tok_43250 -0.6606 0.8550 0.7155 cos=0.71 lr=3e-5 tok_3564 -0.7170 w[9][752] cos=0.10 -0.4740 ∇loss=0.0786 [████░░] 46% cos=0.88 w[4][603] -0.4921 -0.9379 cos=0.79 0.5420 w[11][203] 0.3166 lr=3e-4 -0.4767 lr=3e-4 w[8][131] [████░░] 67% ∇loss=0.0188 -0.4194 cos=0.18 0.6996 w[3][253] 0.9881 -0.1261 tok_36915 ∇loss=0.0043 cos=0.90 0.6659 0.1514 lr=3e-3 cos=0.72 tok_35109 ∇loss=0.0108 0.2318 tok_3311 -0.9468 w[0][654] tok_18532 w[7][357] -0.8620 ∇loss=0.0010 -0.6913 -0.7164 -0.7874 ∇loss=0.0671 w[4][710] -0.7365 -0.2621 -0.0098 0.1049 0.8858 0.7885 [████░░] 71% -0.2023 lr=3e-5 -0.4620 w[8][374] w[6][124] w[1][529] 0.3009 0.9290 -0.4830 tok_45229 -0.2742 -0.1487 -0.0919 -0.9270 tok_14989 tok_27659 -0.6097 ∇loss=0.0115 lr=3e-4 w[0][114] w[1][129] lr=3e-5 -0.2120 [████░░] 85% w[11][180] cos=0.99 lr=3e-4 lr=3e-4 -0.6743 ∇loss=0.0148 -0.8467 cos=0.86 w[0][190] 0.3499 -0.1074 cos=0.22 [████░░] 22% -0.7483 0.9306 w[11][261] cos=0.15 ∇loss=0.0920 -0.1962 [████░░] 98% [████░░] 72% [████░░] 79% -0.3716 0.2138 cos=0.58 0.3281 -0.8344 0.7649 ∇loss=0.0583 -0.4224 [████░░] 5% -0.4013 0.8192 tok_4887 tok_28552 lr=3e-3 tok_22973 0.5132 [████░░] 97% w[0][66] -0.4543 lr=3e-4 0.5698 tok_35762 -0.2800 tok_25377 0.4166 -0.3019 -0.9959 w[0][262] w[0][216] -0.2497 w[1][680] -0.0551 w[6][280] w[5][213] 0.8380 lr=3e-3 tok_18404 w[0][547] 0.1320 [████░░] 49% -0.4606 ∇loss=0.0106 ∇loss=0.0139 -0.0488 0.1331 lr=3e-5 lr=3e-5 [████░░] 70% -0.7015 w[7][216] lr=3e-3 0.9094 w[7][397] -0.9532 [████░░] 28% -0.2144 0.0372 0.5998 [████░░] 63% cos=0.35 0.4835 0.8986 0.4550 0.5982 w[7][629] 0.4261 0.1912 [████░░] 72% lr=3e-5 0.9985 -0.2737 -0.3430 cos=0.07 lr=3e-3 w[5][24] cos=0.85 cos=0.71 tok_31925 w[3][42] w[8][615] w[5][189] 0.4174 lr=3e-4 0.5216 w[4][458] cos=0.39 [████░░] 44% -0.2608 w[1][283] tok_13962 0.2008 0.2385 tok_1476 0.6317 0.7015 cos=0.24 0.4748 0.5856 w[7][404] cos=0.86 -0.4091 0.1833 tok_17284 0.1457 cos=0.78 0.1034 -0.8949 ∇loss=0.0609 -0.5309 -0.1281 cos=0.22 0.1391 lr=3e-3 ∇loss=0.0484 0.2281 -0.5103 0.2186 [████░░] 60% w[5][232] -0.8617 -0.8130 -0.3939 tok_30391 tok_21313 0.8578 [████░░] 76% w[9][357] lr=3e-4 -0.8287 [████░░] 20% [████░░] 63% tok_45920 ∇loss=0.0515 -0.5903 -0.2577 cos=0.13 w[5][624] 0.9622 ∇loss=0.0660 [████░░] 53% w[5][753] [████░░] 92% 0.2448 ∇loss=0.0949 w[5][350] -0.5370 lr=3e-3 0.8520 [████░░] 92% 0.1203 tok_1802 [████░░] 93% w[6][274] -0.0461 lr=3e-4 [████░░] 9% w[2][576] ∇loss=0.0149 -0.9520 w[5][44] [████░░] 1% 0.7772 ∇loss=0.0820 lr=3e-4 -0.3939 -0.0431 -0.9277 ∇loss=0.0874 0.8305 tok_22446 -0.1822 0.8595 ∇loss=0.0155 0.2902 w[5][147] 0.4777 lr=3e-3 -0.6265 [████░░] 25% lr=3e-4 w[1][430] w[2][360] tok_13376 -0.3694 w[10][79] w[3][107] -0.3407 0.3990 -0.3386 [████░░] 87% w[8][315] w[8][147] ∇loss=0.0810 0.5560 -0.4024 ∇loss=0.0244 0.0288 -0.7489 -0.9439 ∇loss=0.0194 cos=0.90 w[6][592] cos=0.21 0.8843 w[0][7] cos=0.57 -0.0058 cos=0.05 ∇loss=0.0388 -0.6055 lr=3e-5 0.2378 -0.5672 [████░░] 61% cos=0.51 lr=3e-4 w[6][699] -0.5040 -0.5354 0.7762 -0.7446 w[2][223] -0.5750 ∇loss=0.0360 lr=3e-4 ∇loss=0.0012 ∇loss=0.0437 lr=3e-4 tok_18408 tok_5441 0.8201 -0.1642 -0.6806 cos=0.31 lr=3e-4 [████░░] 0% ∇loss=0.0329 [████░░] 77% cos=0.05 0.5817 w[7][118] [████░░] 72% w[6][248] [████░░] 91% ∇loss=0.0272 lr=3e-5 -0.3727 0.7788 [████░░] 45% tok_44725 -0.9980 w[3][611] w[10][638] [████░░] 45% w[7][136] 0.8517 cos=0.12 lr=3e-3 [████░░] 17% lr=3e-5 ∇loss=0.0063 -0.5298 tok_39635 0.9484 ∇loss=0.0927 -0.2847 cos=0.44 ∇loss=0.0557 ∇loss=0.0820 w[11][370] 0.5954 w[11][26] -0.6499 [████░░] 80% 0.3808 lr=3e-3 w[9][298] [████░░] 14% -0.7077 ∇loss=0.0098 0.8149 ∇loss=0.0200 w[1][523] w[11][423] lr=3e-3 ∇loss=0.0375 0.5427 -0.9786 lr=3e-3 0.9526 w[3][98] -0.8541 cos=0.51 [████░░] 74% lr=3e-5 0.1641 w[10][511] 0.8176 -0.3630 ∇loss=0.0061 ∇loss=0.0348 -0.6829 tok_35582 lr=3e-3 0.7755 0.8038 0.9621 0.0824 -0.1577 w[2][577] -0.3894 -0.8092 tok_43250 -0.6606 0.8550 0.7155 cos=0.71 lr=3e-5 tok_3564 -0.7170 w[9][752] cos=0.10 -0.4740 ∇loss=0.0786 [████░░] 46% cos=0.88 w[4][603] -0.4921 -0.9379 cos=0.79 0.5420 w[11][203] 0.3166 lr=3e-4 -0.4767 lr=3e-4 w[8][131] [████░░] 67% ∇loss=0.0188 -0.4194 cos=0.18 0.6996 w[3][253] 0.9881 -0.1261 tok_36915 ∇loss=0.0043 cos=0.90 0.6659 0.1514 lr=3e-3 cos=0.72 tok_35109 ∇loss=0.0108 0.2318 tok_3311 -0.9468 w[0][654] tok_18532 w[7][357] -0.8620 ∇loss=0.0010 -0.6913 -0.7164 -0.7874 ∇loss=0.0671 w[4][710] -0.7365 -0.2621 -0.0098 0.1049 0.8858 0.7885 [████░░] 71% -0.2023 lr=3e-5 -0.4620 w[8][374] w[6][124] w[1][529] 0.3009 0.9290 -0.4830 tok_45229 -0.2742 -0.1487 -0.0919 -0.9270 tok_14989 tok_27659 -0.6097 ∇loss=0.0115 lr=3e-4 w[0][114] w[1][129] lr=3e-5 -0.2120 [████░░] 85% w[11][180] cos=0.99 lr=3e-4 lr=3e-4 -0.6743 ∇loss=0.0148 -0.8467 cos=0.86 w[0][190] 0.3499 -0.1074 cos=0.22 [████░░] 22% -0.7483 0.9306 w[11][261] cos=0.15 ∇loss=0.0920 -0.1962 [████░░] 98% [████░░] 72% [████░░] 79% -0.3716 0.2138 cos=0.58 0.3281 -0.8344 0.7649 ∇loss=0.0583 -0.4224 [████░░] 5% -0.4013 0.8192 tok_4887 tok_28552 lr=3e-3 tok_22973 0.5132 [████░░] 97% w[0][66] -0.4543 lr=3e-4 0.5698 tok_35762 -0.2800 tok_25377 0.4166 -0.3019 -0.9959 w[0][262] w[0][216] -0.2497 w[1][680] -0.0551 w[6][280] w[5][213] 0.8380 lr=3e-3 tok_18404 w[0][547] 0.1320 [████░░] 49% -0.4606 ∇loss=0.0106 ∇loss=0.0139 -0.0488 0.1331 lr=3e-5 lr=3e-5 [████░░] 70% -0.7015 w[7][216] lr=3e-3 0.9094 w[7][397] -0.9532 [████░░] 28% -0.2144 0.0372 0.5998 [████░░] 63% cos=0.35 0.4835 0.8986 0.4550 0.5982 w[7][629] 0.4261 0.1912 [████░░] 72% lr=3e-5 0.9985 -0.2737 -0.3430 cos=0.07 lr=3e-3 w[5][24] cos=0.85 cos=0.71 tok_31925 w[3][42] w[8][615] w[5][189] 0.4174 lr=3e-4 0.5216 w[4][458] cos=0.39 [████░░] 44% -0.2608 w[1][283] tok_13962 0.2008 0.2385 tok_1476 0.6317 0.7015 cos=0.24 0.4748 0.5856 w[7][404] cos=0.86 -0.4091 0.1833 tok_17284 0.1457 cos=0.78 0.1034 -0.8949 ∇loss=0.0609 -0.5309 -0.1281 cos=0.22 0.1391 lr=3e-3 ∇loss=0.0484 0.2281 -0.5103 0.2186 [████░░] 60% w[5][232] -0.8617 -0.8130 -0.3939 tok_30391 tok_21313 0.8578 [████░░] 76% w[9][357] lr=3e-4 -0.8287 [████░░] 20% [████░░] 63% tok_45920 ∇loss=0.0515
Next up — in the labEmbedding
Embedding
Model
Yes, you can train your own. From a tokenizer and an open dataset to a model that turns words into meaning — on hardware one person can afford. Every decision, training run, and benchmark gets documented so you can build yours too.
Watch it happen(no launch date. that’s the point.)
embed("endeavour")→ float[768]
[-0.9791-0.5114-0.3804 0.7973]
[-0.5614 0.4846-0.9987-0.0436]
[-0.3465 0.2535-0.6425-0.0765]
[-0.3497 0.9141-0.6177-0.8021]
[ 0.7993-0.7170 0.6755-0.9660]
[-0.4180-0.6061-0.8393-0.0088]
[ 0.2265 0.6070 0.8088-0.3254 ... ]
> cosine_sim("endeavour", "adventure") = 0.91_
EXPERIENCE • passionate about impact • led cross-functional teams • references available upon request • passionate about impact • self-starter • kw_match=0.91 • cover_letter.doc • kw_match=0.91 • passionate about impact • self-starter • ats_score=0.42 • hire=true • • shipped it • v7_final_FINAL.pdf • passionate about impact • EXPERIENCE • • shipped it • REJECTED • kw_match=0.91 • passionate about impact • led cross-functional teams • REJECTED • tailored_to=job_desc.txt • REJECTED • 10+ yrs • SKILLS: • hire=true • • shipped it • REJECTED • references available upon request • 10+ yrs • objective: • objective: • REJECTED • ats_score=0.42 • detail-oriented • • owned roadmap • passionate about impact • cover_letter.doc • hire=true • passionate about impact • HIRED • cover_letter.doc • cover_letter.doc • objective: • ats_score=0.98 • hire=true • self-starter • 10+ yrs • SHORTLISTED • HIRED • detail-oriented • results-driven • EXPERIENCE • objective: • v7_final_FINAL.pdf • proficient in excel • proficient in excel • tailored_to=job_desc.txt • HIRED • results-driven • SKILLS: • objective: • objective: • REJECTED • passionate about impact • tailored_to=job_desc.txt • ats_score=0.98 • self-starter • passionate about impact • HIRED • ats_score=0.42 • ats_score=0.98 • results-driven • results-driven • detail-oriented • REJECTED • objective: • team player • references available upon request • v7_final_FINAL.pdf • objective: • REJECTED • SKILLS: • HIRED • EDUCATION • team player • • owned roadmap • objective: • team player • ats_score=0.98 • EXPERIENCE • led cross-functional teams • HIRED • detail-oriented • EDUCATION • • shipped it • REJECTED • SKILLS: • 10+ yrs • tailored_to=job_desc.txt • ats_score=0.42 • SHORTLISTED • SKILLS: • hire=true • v7_final_FINAL.pdf • team player • synergy • kw_match=0.91 • detail-oriented • 10+ yrs • kw_match=0.91 • HIRED • references available upon request • hire=true • cover_letter.doc • SHORTLISTED • v7_final_FINAL.pdf • led cross-functional teams • passionate about impact • v7_final_FINAL.pdf • • owned roadmap • REJECTED • EXPERIENCE • EDUCATION • kw_match=0.91 • • owned roadmap • ats_score=0.42 • EXPERIENCE • references available upon request • EXPERIENCE • • owned roadmap • led cross-functional teams • detail-oriented • cover_letter.doc • tailored_to=job_desc.txt • self-starter • self-starter • hire=true • 10+ yrs • self-starter • results-driven • REJECTED • results-driven • passionate about impact • references available upon request • led cross-functional teams • HIRED • led cross-functional teams • ats_score=0.98 • passionate about impact • detail-oriented • ats_score=0.42 • 10+ yrs • ats_score=0.42 • HIRED • detail-oriented • passionate about impact • detail-oriented • objective: • EXPERIENCE • SHORTLISTED • results-driven • ats_score=0.42 • tailored_to=job_desc.txt • team player • REJECTED • 10+ yrs • kw_match=0.91 • HIRED • tailored_to=job_desc.txt • EXPERIENCE • EDUCATION • REJECTED • cover_letter.doc • SHORTLISTED • synergy • synergy • ats_score=0.98 • • shipped it • • shipped it • kw_match=0.91 • results-driven • led cross-functional teams • SKILLS: • self-starter • detail-oriented • EXPERIENCE • cover_letter.doc • SKILLS: • 10+ yrs • proficient in excel • SKILLS: • led cross-functional teams • self-starter • • owned roadmap • SKILLS: • detail-oriented • ats_score=0.42 • • shipped it • cover_letter.doc • SHORTLISTED • detail-oriented • SKILLS: • led cross-functional teams • cover_letter.doc • 10+ yrs • cover_letter.doc • objective: • REJECTED • ats_score=0.98 • detail-oriented • references available upon request • ats_score=0.98 • cover_letter.doc • • shipped it • synergy • ats_score=0.42 • passionate about impact • kw_match=0.91 • passionate about impact • ats_score=0.98 • kw_match=0.91 • objective: • SKILLS: • led cross-functional teams • 10+ yrs • HIRED • ats_score=0.42 • EDUCATION • REJECTED • REJECTED • SHORTLISTED • ats_score=0.42 • proficient in excel • led cross-functional teams • EXPERIENCE • objective: • results-driven • objective: • objective: • led cross-functional teams • self-starter • EXPERIENCE • 10+ yrs • 10+ yrs • references available upon request • HIRED • kw_match=0.91 • HIRED • • owned roadmap • kw_match=0.91 • ats_score=0.42 • hire=true • passionate about impact • synergy • hire=true • • owned roadmap • SKILLS: • 10+ yrs • ats_score=0.42 • EDUCATION • cover_letter.doc • tailored_to=job_desc.txt • detail-oriented • results-driven • proficient in excel • proficient in excel • ats_score=0.98 • EDUCATION • SHORTLISTED • cover_letter.doc • EXPERIENCE • results-driven • proficient in excel • SHORTLISTED • results-driven • EDUCATION • tailored_to=job_desc.txt • self-starter • EXPERIENCE • • owned roadmap • tailored_to=job_desc.txt • led cross-functional teams • led cross-functional teams • self-starter • hire=true • SHORTLISTED • objective: • proficient in excel • SKILLS: • self-starter • tailored_to=job_desc.txt • hire=true • synergy • cover_letter.doc • SHORTLISTED • SHORTLISTED • ats_score=0.98 • EXPERIENCE • passionate about impact • led cross-functional teams • references available upon request • passionate about impact • self-starter • kw_match=0.91 • cover_letter.doc • kw_match=0.91 • passionate about impact • self-starter • ats_score=0.42 • hire=true • • shipped it • v7_final_FINAL.pdf • passionate about impact • EXPERIENCE • • shipped it • REJECTED • kw_match=0.91 • passionate about impact • led cross-functional teams • REJECTED • tailored_to=job_desc.txt • REJECTED • 10+ yrs • SKILLS: • hire=true • • shipped it • REJECTED • references available upon request • 10+ yrs • objective: • objective: • REJECTED • ats_score=0.42 • detail-oriented • • owned roadmap • passionate about impact • cover_letter.doc • hire=true • passionate about impact • HIRED • cover_letter.doc • cover_letter.doc • objective: • ats_score=0.98 • hire=true • self-starter • 10+ yrs • SHORTLISTED • HIRED • detail-oriented • results-driven • EXPERIENCE • objective: • v7_final_FINAL.pdf • proficient in excel • proficient in excel • tailored_to=job_desc.txt • HIRED • results-driven • SKILLS: • objective: • objective: • REJECTED • passionate about impact • tailored_to=job_desc.txt • ats_score=0.98 • self-starter • passionate about impact • HIRED • ats_score=0.42 • ats_score=0.98 • results-driven • results-driven • detail-oriented • REJECTED • objective: • team player • references available upon request • v7_final_FINAL.pdf • objective: • REJECTED • SKILLS: • HIRED • EDUCATION • team player • • owned roadmap • objective: • team player • ats_score=0.98 • EXPERIENCE • led cross-functional teams • HIRED • detail-oriented • EDUCATION • • shipped it • REJECTED • SKILLS: • 10+ yrs • tailored_to=job_desc.txt • ats_score=0.42 • SHORTLISTED • SKILLS: • hire=true • v7_final_FINAL.pdf • team player • synergy • kw_match=0.91 • detail-oriented • 10+ yrs • kw_match=0.91 • HIRED • references available upon request • hire=true • cover_letter.doc • SHORTLISTED • v7_final_FINAL.pdf • led cross-functional teams • passionate about impact • v7_final_FINAL.pdf • • owned roadmap • REJECTED • EXPERIENCE • EDUCATION • kw_match=0.91 • • owned roadmap • ats_score=0.42 • EXPERIENCE • references available upon request • EXPERIENCE • • owned roadmap • led cross-functional teams • detail-oriented • cover_letter.doc • tailored_to=job_desc.txt • self-starter • self-starter • hire=true • 10+ yrs • self-starter • results-driven • REJECTED • results-driven • passionate about impact • references available upon request • led cross-functional teams • HIRED • led cross-functional teams • ats_score=0.98 • passionate about impact • detail-oriented • ats_score=0.42 • 10+ yrs • ats_score=0.42 • HIRED • detail-oriented • passionate about impact • detail-oriented • objective: • EXPERIENCE • SHORTLISTED • results-driven • ats_score=0.42 • tailored_to=job_desc.txt • team player • REJECTED • 10+ yrs • kw_match=0.91 • HIRED • tailored_to=job_desc.txt • EXPERIENCE • EDUCATION • REJECTED • cover_letter.doc • SHORTLISTED • synergy • synergy • ats_score=0.98 • • shipped it • • shipped it • kw_match=0.91 • results-driven • led cross-functional teams • SKILLS: • self-starter • detail-oriented • EXPERIENCE • cover_letter.doc • SKILLS: • 10+ yrs • proficient in excel • SKILLS: • led cross-functional teams • self-starter • • owned roadmap • SKILLS: • detail-oriented • ats_score=0.42 • • shipped it • cover_letter.doc • SHORTLISTED • detail-oriented • SKILLS: • led cross-functional teams • cover_letter.doc • 10+ yrs • cover_letter.doc • objective: • REJECTED • ats_score=0.98 • detail-oriented • references available upon request • ats_score=0.98 • cover_letter.doc • • shipped it • synergy • ats_score=0.42 • passionate about impact • kw_match=0.91 • passionate about impact • ats_score=0.98 • kw_match=0.91 • objective: • SKILLS: • led cross-functional teams • 10+ yrs • HIRED • ats_score=0.42 • EDUCATION • REJECTED • REJECTED • SHORTLISTED • ats_score=0.42 • proficient in excel • led cross-functional teams • EXPERIENCE • objective: • results-driven • objective: • objective: • led cross-functional teams • self-starter • EXPERIENCE • 10+ yrs • 10+ yrs • references available upon request • HIRED • kw_match=0.91 • HIRED • • owned roadmap • kw_match=0.91 • ats_score=0.42 • hire=true • passionate about impact • synergy • hire=true • • owned roadmap • SKILLS: • 10+ yrs • ats_score=0.42 • EDUCATION • cover_letter.doc • tailored_to=job_desc.txt • detail-oriented • results-driven • proficient in excel • proficient in excel • ats_score=0.98 • EDUCATION • SHORTLISTED • cover_letter.doc • EXPERIENCE • results-driven • proficient in excel • SHORTLISTED • results-driven • EDUCATION • tailored_to=job_desc.txt • self-starter • EXPERIENCE • • owned roadmap • tailored_to=job_desc.txt • led cross-functional teams • led cross-functional teams • self-starter • hire=true • SHORTLISTED • objective: • proficient in excel • SKILLS: • self-starter • tailored_to=job_desc.txt • hire=true • synergy • cover_letter.doc • SHORTLISTED • SHORTLISTED • ats_score=0.98
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The first endeavour, all grown up. Resume Matcher is now a full AI resume builder — it doesn’t just score your resume against the job description, it builds you one recruiters can’t ignore.
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📎 building: resume_v8.pdf · tailored to job_desc.txt
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